[Tutorialsplanet.NET] Udemy - PyTorch Deep Learning and Artificial Intelligence

Creation Time	Aug. 2, 2024, 2:35 p.m.
Last Access Time	Dec. 23, 2024, 8:16 a.m.
File Size	1.3 GB
Keywords	Tutorialsplanet and Intelligence - Deep Udemy PyTorch Artificial Learning NET
Total Requests	44
Total Files	45
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18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4.!qB 167.3 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4.!qB 150.7 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4.!qB 84.6 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4.!qB 69.5 MB
8. Recommender Systems/4. Recommender Systems with Deep Learning Code (pt 2).mp4.!qB 69.2 MB
3. Machine Learning and Neurons/6. Moore's Law Notebook.mp4.!qB 65.0 MB
2. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.mp4.!qB 59.5 MB
16. In-Depth Gradient Descent/5. Adam (pt 1).mp4.!qB 55.2 MB
12. Stock Trading Project with Deep Reinforcement Learning/2. Data and Environment.mp4.!qB 53.4 MB
11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).mp4.!qB 52.2 MB
7. Natural Language Processing (NLP)/9. VIP Making Predictions with a Trained NLP Model.mp4.!qB 48.8 MB
13. VIP Uncertainty Estimation/1. Custom Loss and Estimating Prediction Uncertainty.mp4.!qB 43.6 MB
3. Machine Learning and Neurons/16. Train Sets vs. Validation Sets vs. Test Sets.mp4.!qB 42.4 MB
5. Convolutional Neural Networks/9. CNN for Fashion MNIST.mp4.!qB 40.7 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4.!qB 38.3 MB
1. Introduction/1. Welcome.mp4.!qB 35.7 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4.!qB 33.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/15. Stock Return Predictions using LSTMs (pt 2).mp4.!qB 32.2 MB
7. Natural Language Processing (NLP)/6. Text Classification with LSTMs.mp4.!qB 31.4 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4.!qB 28.8 MB
5. Convolutional Neural Networks/6. CNN Code Preparation (part 1).mp4.!qB 27.9 MB
5. Convolutional Neural Networks/13. Improving CIFAR-10 Results.mp4.!qB 20.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/10. GRU and LSTM (pt 2).mp4.!qB 20.0 MB
8. Recommender Systems/2. Recommender Systems with Deep Learning Code Preparation.mp4.!qB 18.9 MB
12. Stock Trading Project with Deep Reinforcement Learning/7. Code pt 3.mp4.!qB 17.5 MB
11. Deep Reinforcement Learning (Theory)/11. Q-Learning.mp4.!qB 16.1 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/17. Other Ways to Forecast.mp4.!qB 13.9 MB
11. Deep Reinforcement Learning (Theory)/5. The Return.mp4.!qB 12.9 MB
18. Setting up your Environment (FAQ by Student Request)/2. Windows-Focused Environment Setup 2018.mp4.!qB 6.1 MB
13. VIP Uncertainty Estimation/2. Estimating Prediction Uncertainty Code.mp4.!qB 5.5 MB
11. Deep Reinforcement Learning (Theory)/14. How to Learn Reinforcement Learning.mp4.!qB 4.8 MB
1. Introduction/2. Overview and Outline.mp4.!qB 4.3 MB
8. Recommender Systems/1. Recommender Systems with Deep Learning Theory.mp4.!qB 3.6 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code Yourself (part 1).mp4.!qB 2.1 MB
16. In-Depth Gradient Descent/6. Adam (pt 2).mp4.!qB 1.6 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.vtt 27.9 KB
16. In-Depth Gradient Descent/5. Adam (pt 1).vtt 14.6 KB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt 12.6 KB
11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).vtt 11.6 KB
13. VIP Uncertainty Estimation/1. Custom Loss and Estimating Prediction Uncertainty.vtt 11.3 KB
7. Natural Language Processing (NLP)/9. VIP Making Predictions with a Trained NLP Model.vtt 8.0 KB
1. Introduction/1. Welcome.vtt 5.0 KB
7. Natural Language Processing (NLP)/[Tutorialsplanet.NET].url 128 bytes
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 0 bytes
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 0 bytes

[Tutorialsplanet.NET] Udemy - PyTorch Deep Learning and Artificial Intelligence

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