Pluralsight Path. Deep Learning Literacy (2022)

Creation Time	Sept. 25, 2023, 8:16 p.m.
Last Access Time	Sept. 21, 2024, 5:16 a.m.
File Size	805.5 MB
Keywords	Pluralsight Learning Deep 2022 Path Literacy
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Total Files	319
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1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/exercise.7z 43.5 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/4. Building a Recurrent Neural Network Using Tensorflow/2. Demo - Implement a Recurrent Neural Network Using TensorFlow.mp4 33.5 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/09. Demo - Building, Training, and Evaluating a Neural Network.mp4 19.1 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/3. Exploring Convolutional Neural Network Architecture/5. Convolutional Layers.mp4 17.7 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/3. Introducing the Recurrent Neural Networks/4. Different Types and Architectures of RNN.mp4 16.7 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/4. Next Steps/3. Deep Learning Tools and Frameworks.mp4 15.7 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/07. Demo - Preparing the Data - Part 1.mp4 14.7 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/2. Understanding the Basics of Neural Networks/4. Explore Activation Functions in NNs.mp4 14.6 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/06. Demo - Basic Dataset Exploration.mp4 14.3 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/exercise.7z 13.7 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/08. Demo - Preparing the Data - Part 2.mp4 12.9 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/3. Exploring Convolutional Neural Network Architecture/2. Artificial Neural Networks.mp4 12.7 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/4. Case Study on Appropriate Normalization Technique/3. Demo - Create A Deep Learning Model With Normalization.mp4 11.8 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/2. Introduction to Deep Learning/3. Applications of Deep Learning in the Industry.mp4 11.4 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/2. Introduction/3. How Computers See Images.mp4 11.4 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/3. Understanding Neural Network’s Structure and Operations/5. Understand the Back-propagation.mp4 11.3 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/3. Understanding Neural Network’s Structure and Operations/3. Introducing Activation Functions.mp4 11.1 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/2. Introducing Artificial Neural Networks/2. Inspiration from Biological Neurons.mp4 10.3 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/3. Exploring Convolutional Neural Network Architecture/3. Model Training.mp4 10.2 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/04. The Design and Working of a Neural Network.mp4 10.2 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/4. Understanding Vectorized Neural Networks/3. Vectorization in the Context of Deep Learning.mp4 9.1 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/exercise.7z 9.0 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/4. Build a Product Recommendation System for Globomantics Using Python/2. Data Exploration.mp4 9.0 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/3. Understanding Neural Network’s Structure and Operations/2. Concepts of Bias and Weights.mp4 8.8 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/6. Understanding the Best Practices for Building RNNs/2. Best Practices for Improving the RNN Model Performance.mp4 8.7 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/3. Collaborative-filtering Based Recommendation Systems/3. How to Quantify Similarity.mp4 8.7 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/3. Understanding Neural Network’s Structure and Operations/4. Exploring Feed-forwarding Propagation.mp4 8.7 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/2. Understanding the Basics of Neural Networks/3. Exploring Important Concepts of NNs.mp4 8.2 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/2. GAN Basics/2. Neural Network Basics.mp4 8.1 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/4. Build a Product Recommendation System for Globomantics Using Python/6. Generate Recommendations Using User Based Collab.mp4 8.0 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/3. Introducing the Recurrent Neural Networks/2. What Is a Recurrent Neural Network and Why.mp4 7.8 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/4. Using GANs to Solve Problems/3. Use GANs to Generate Training Data.mp4 7.6 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/4. Next Steps/2. Popular Convolutional Neural Networks.mp4 7.5 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/3. How GANs Work/3. GAN Training.mp4 7.5 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/3. Collaborative-filtering Based Recommendation Systems/4. Collaborative Filtering in the Neighborhood.mp4 7.2 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/03. Activation Functions.mp4 7.1 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/3. Understand Types of Normalization/2. Batch Normalization.mp4 7.0 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/3. Understand Types of Normalization/3. Convolutional Neural Network.mp4 6.9 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/4. Build a Product Recommendation System for Globomantics Using Python/3. Data Cleaning.mp4 6.7 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/5. Exploring Example GANs/1. Exploring Example GANs.mp4 6.6 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/3. Exploring Convolutional Neural Network Architecture/4. Convolution Basics.mp4 6.5 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/2. Understanding the Basics of Neural Networks/5. Explore Propagations in NNs.mp4 6.4 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/3. How GANs Work/1. How GANs Work.mp4 6.4 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/4. Understanding Vectorized Neural Networks/2. What Is Vectorization in General.mp4 6.2 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/exercise.7z 6.2 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/2. Introduction to Deep Learning/6. Demo - Setting up Your Environment.mp4 6.1 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/05. Gradient Descent.mp4 6.0 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/2. Introduction to Deep Learning/2. What Is Deep Learning.mp4 6.0 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/2. Introduction to Deep Learning/5. Demo - Introduction to the Problem and Dataset.mp4 5.4 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/3. Collaborative-filtering Based Recommendation Systems/2. Introduction to Collaborative Filtering.mp4 5.3 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/4. Using GANs to Solve Problems/2. Powerful Patterns with GANs.mp4 5.3 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/2. Introduction to Deep Learning/1. Course Introduction and Module Overview.mp4 5.3 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/4. Build a Product Recommendation System for Globomantics Using Python/4. Generate Non-personalized Recommendations.mp4 5.2 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/exercise.zip 5.1 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/02. The Perceptron - From Biological to Artificial Neurons.mp4 4.9 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/2. Introducing Artificial Neural Networks/1. Module Overview.mp4 4.9 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/2. Evaluate Normalization Techniques for Deep Learning/7. Normalization Demo.mp4 4.6 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/5. Other Approaches to Generate Recommendations/2. Content-based Recommendation Systems.mp4 4.6 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/3. Exploring Convolutional Neural Network Architecture/8. Fine-tuning.mp4 4.6 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/2. Introduction/4. Solving Computer Vision Problems before Convolutional Neural Networks.mp4 4.5 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/3. Introducing the Recurrent Neural Networks/3. How RNN Is Different from CNN.mp4 4.5 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/2. Introduction to Deep Learning/4. Deep Learning Frameworks.mp4 4.5 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/3. Introducing the Recurrent Neural Networks/5. Understand BackPropagation through Time in RNN.mp4 4.4 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/2. Evaluate Normalization Techniques for Deep Learning/4. What Are Neural Networks.mp4 4.3 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/3. Understand Types of Normalization/5. Instance Normalization.mp4 4.1 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/2. Evaluate Normalization Techniques for Deep Learning/3. Deep Learning Use Cases.mp4 4.1 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/4. Types of Neural Networks and Their Uses/5. Generative Adversarial Networks.mp4 4.0 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/exercise.7z 4.0 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/5. Exploring the Merits of RNNs - Case Study/3. Support of Sequences in Recurrent Neural Networks.mp4 4.0 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/2. Introduction/5. Common Convolutional Neural Network Use Cases.mp4 3.9 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/2. Introduction to Recommendation Systems/3. Definition of Recommender System.mp4 3.8 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/3. Collaborative-filtering Based Recommendation Systems/5. Pros and Cons of Collaborative Filtering.mp4 3.8 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/3. How GANs Work/2. GAN Architecture.mp4 3.7 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/4. Types of Neural Networks and Their Uses/6. Autoencoders.mp4 3.7 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/5. Other Approaches to Generate Recommendations/4. Model-based Recommendation Systems.mp4 3.6 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/2. Introduction to Recommendation Systems/6. Evaluation Criteria of Recommender Systems.mp4 3.6 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/3. Understand Types of Normalization/6. Group Normalization.mp4 3.6 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/5. Other Approaches to Generate Recommendations/3. Context-aware Recommendation Systems.mp4 3.5 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/4. Types of Neural Networks and Their Uses/4. Long Short-term Memory Networks.mp4 3.4 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/1. Course Overview/1. Course Overview.mp4 3.4 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/4. Types of Neural Networks and Their Uses/3. Recurrent Neural Networks.mp4 3.3 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/1. Course Overview/1. Course Overview.mp4 3.3 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/5. Other Approaches to Generate Recommendations/5. Hybrid Recommendation Systems.mp4 3.2 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/3. Understanding Neural Network’s Structure and Operations/6. Summary.mp4 3.1 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/3. Exploring Convolutional Neural Network Architecture/7. CNN Structure.mp4 3.1 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/2. GAN Basics/1. GAN Basics.mp4 3.1 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/2. Introduction/1. Introduction.mp4 3.0 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/1. Course Overview/1. Course Overview.mp4 3.0 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/4. Types of Neural Networks and Their Uses/2. Convolutional Neural Networks.mp4 3.0 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/5. Exploring the Merits of RNNs - Case Study/2. Introducing the Case Study.mp4 3.0 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/4. Build a Product Recommendation System for Globomantics Using Python/7. Generate Recommendations Using Item Based Collab.mp4 2.9 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/2. Introducing Artificial Neural Networks/4. Introduction to Perceptron.mp4 2.9 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/3. Understand Types of Normalization/4. Layer Normalization.mp4 2.8 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/2. Introducing Artificial Neural Networks/3. Brief History of Artificial Neural Networks.mp4 2.8 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/1. Course Overview/1. Course Overview.mp4 2.8 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/2. Understanding the Basics of Neural Networks/2. Introduction to Neural Networks.mp4 2.8 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/2. Introduction/2. Course Outline.mp4 2.8 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/3. How GANs Work/4. GAN Issues.mp4 2.7 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/1. Course Overview/1. Course Overview.mp4 2.7 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/5. Exploring Example GANs/2. Course Summary.mp4 2.6 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/3. Exploring Convolutional Neural Network Architecture/6. Pooling Layer.mp4 2.6 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/2. Evaluate Normalization Techniques for Deep Learning/2. What Is Deep Learning.mp4 2.5 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/2. Introduction to Recommendation Systems/5. Types of Recommender Systems.mp4 2.5 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/5. Exploring the Merits of RNNs - Case Study/4. Taking Context into Account for Better Understanding.mp4 2.5 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/1. Course Overview/1. Course Overview.mp4 2.5 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/3. Exploring Convolutional Neural Network Architecture/9. Summary.mp4 2.5 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/2. Evaluate Normalization Techniques for Deep Learning/6. What Is Data Normalization.mp4 2.5 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/1. Course Overview/1. Course Overview.mp4 2.4 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/exercise.7z 2.4 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/4. Build a Product Recommendation System for Globomantics Using Python/5. Create User-item Interaction Matrix.mp4 2.3 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/5. Other Approaches to Generate Recommendations/6. Summary.mp4 2.2 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/3. Exploring Convolutional Neural Network Architecture/1. Introduction.mp4 2.1 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/6. Understanding the Best Practices for Building RNNs/3. Considerations Regarding the Model Parameters.mp4 2.1 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/2. Understanding the Basics of Neural Networks/1. Overview.mp4 2.1 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/2. Introduction/6. Summary.mp4 2.0 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/2. Evaluate Normalization Techniques for Deep Learning/5. Challenges in Designing a Deep Learning Solution.mp4 1.9 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/2. Introduction to Recommendation Systems/2. Examples of Recommender Systems.mp4 1.9 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/4. Types of Neural Networks and Their Uses/1. Module Overview.mp4 1.9 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/4. Types of Neural Networks and Their Uses/7. Module Summary and Course Feedback.mp4 1.8 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/2. GAN Basics/3. Overview.mp4 1.8 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/4. Case Study on Appropriate Normalization Technique/4. Conclusion.mp4 1.7 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/3. Understanding Neural Network’s Structure and Operations/1. Overview.mp4 1.6 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/2. Introduction to Recommendation Systems/4. Benefits of Recommender Systems.mp4 1.6 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/4. Build a Product Recommendation System for Globomantics Using Python/1. Overview.mp4 1.6 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/3. Introducing the Recurrent Neural Networks/1. Overview.mp4 1.5 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/2. Introduction to Deep Learning/7. Module Summary.mp4 1.4 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/3. Introducing the Recurrent Neural Networks/6. Summary.mp4 1.4 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/01. Module Overview.mp4 1.3 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/5. Other Approaches to Generate Recommendations/1. Overview.mp4 1.3 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/3. Collaborative-filtering Based Recommendation Systems/6. Summary.mp4 1.3 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/10. Module Summary.mp4 1.2 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/4. Build a Product Recommendation System for Globomantics Using Python/8. Summary.mp4 1.2 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/2. Introducing Artificial Neural Networks/5. Summary.mp4 1.2 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/5. Exploring the Merits of RNNs - Case Study/5. Summary.mp4 1.2 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/2. Introduction to Recommendation Systems/7. Summary.mp4 1.2 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/3. Collaborative-filtering Based Recommendation Systems/1. Overview.mp4 1.1 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/3. Understand Types of Normalization/1. Introduction.mp4 1.1 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/4. Understanding Vectorized Neural Networks/4. Summary.mp4 1.1 MB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/2. Introduction to Recommendation Systems/1. Overview.mp4 1.1 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/2. Understanding the Basics of Neural Networks/6. Summary.mp4 1.1 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/6. Understanding the Best Practices for Building RNNs/4. Summary.mp4 1.0 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/4. Next Steps/4. Summary.mp4 1006.5 KB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/4. Case Study on Appropriate Normalization Technique/1. Introduction.mp4 982.2 KB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/4. Using GANs to Solve Problems/1. Using GANs to Solve Problems.mp4 976.5 KB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/2. Evaluate Normalization Techniques for Deep Learning/8. Conclusion.mp4 933.9 KB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/3. Understand Types of Normalization/7. Conclusion.mp4 921.5 KB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/2. Evaluate Normalization Techniques for Deep Learning/1. Introduction.mp4 886.4 KB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/4. Case Study on Appropriate Normalization Technique/2. Quick Overview.mp4 883.5 KB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/4. Next Steps/1. Introduction.mp4 805.2 KB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/4. Understanding Vectorized Neural Networks/1. Overview.mp4 717.6 KB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/6. Understanding the Best Practices for Building RNNs/1. Overview.mp4 646.4 KB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/4. Using GANs to Solve Problems/4. Summary.mp4 619.3 KB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/4. Building a Recurrent Neural Network Using Tensorflow/1. Overview.mp4 590.2 KB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/5. Exploring the Merits of RNNs - Case Study/1. Overview.mp4 570.5 KB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/4. Building a Recurrent Neural Network Using Tensorflow/3. Summary.mp4 483.7 KB
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4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/4. Building a Recurrent Neural Network Using Tensorflow/2. Demo - Implement a Recurrent Neural Network Using TensorFlow.vtt 15.2 KB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/3. Exploring Convolutional Neural Network Architecture/5. Convolutional Layers.vtt 13.7 KB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/3. Introducing the Recurrent Neural Networks/4. Different Types and Architectures of RNN.vtt 13.3 KB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/3. Exploring Convolutional Neural Network Architecture/2. Artificial Neural Networks.vtt 13.2 KB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/3. Exploring Convolutional Neural Network Architecture/3. Model Training.vtt 12.2 KB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/2. Understanding the Basics of Neural Networks/4. Explore Activation Functions in NNs.vtt 11.6 KB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/09. Demo - Building, Training, and Evaluating a Neural Network.vtt 10.5 KB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/4. Next Steps/3. Deep Learning Tools and Frameworks.vtt 8.9 KB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/3. Collaborative-filtering Based Recommendation Systems/3. How to Quantify Similarity.vtt 8.6 KB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/3. Understanding Neural Network’s Structure and Operations/3. Introducing Activation Functions.vtt 8.3 KB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/2. Introducing Artificial Neural Networks/2. Inspiration from Biological Neurons.vtt 8.1 KB
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3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/2. Introduction/3. How Computers See Images.vtt 7.6 KB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/6. Understanding the Best Practices for Building RNNs/2. Best Practices for Improving the RNN Model Performance.vtt 7.3 KB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/3. How GANs Work/3. GAN Training.vtt 7.3 KB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/4. Next Steps/2. Popular Convolutional Neural Networks.vtt 7.1 KB
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2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/3. Understanding Neural Network’s Structure and Operations/5. Understand the Back-propagation.vtt 6.7 KB
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/3. Collaborative-filtering Based Recommendation Systems/4. Collaborative Filtering in the Neighborhood.vtt 6.6 KB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/2. GAN Basics/2. Neural Network Basics.vtt 6.4 KB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/03. Activation Functions.vtt 6.4 KB
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6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/4. Build a Product Recommendation System for Globomantics Using Python/2. Data Exploration.vtt 6.0 KB
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6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)/3. Collaborative-filtering Based Recommendation Systems/2. Introduction to Collaborative Filtering.vtt 5.6 KB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/05. Gradient Descent.vtt 5.4 KB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/2. Introduction to Deep Learning/2. What Is Deep Learning.vtt 5.4 KB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/3. Exploring Convolutional Neural Network Architecture/8. Fine-tuning.vtt 5.4 KB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/2. Introduction to Deep Learning/3. Applications of Deep Learning in the Industry.vtt 5.4 KB
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3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/2. Introduction/4. Solving Computer Vision Problems before Convolutional Neural Networks.vtt 5.0 KB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/3. Understand Types of Normalization/3. Convolutional Neural Network.vtt 4.7 KB
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