Learn Artificial Neural Network From Scratch in Python
File List
- 02 Optional but Recommended [Learn Python in Easy Way]/020 Classes and Objects in Python.mp4 276.7 MB
- 03 Prerequisite_ ML libraries for data preprocessing/002 Data Preprocessing Part 1.mp4 229.0 MB
- 02 Optional but Recommended [Learn Python in Easy Way]/012 Python _List_ Data Structures.mp4 194.3 MB
- 07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/002 Implementation of MLP classifier using scikit-learn.mp4 166.1 MB
- 05 Tutorial_ Numerical on Backpropagation/005 Backpropagation in ANN.mp4 164.8 MB
- 03 Prerequisite_ ML libraries for data preprocessing/006 Introduction to pandas module.mp4 164.1 MB
- 03 Prerequisite_ ML libraries for data preprocessing/010 Cross entropy of Logistic Regression.mp4 157.9 MB
- 07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/001 Creating data sets on our own!!.mp4 156.6 MB
- 03 Prerequisite_ ML libraries for data preprocessing/003 Data Preprocessing Part 2.mp4 155.0 MB
- 03 Prerequisite_ ML libraries for data preprocessing/009 Introduction to overfit and underfit of model.mp4 141.0 MB
- 08 Explore more_ Computational Neural Network [advanced]/001 Introduction to feed forward and backward propagation in computational graph.mp4 132.8 MB
- 02 Optional but Recommended [Learn Python in Easy Way]/018 User Defined Functions in Python.mp4 130.3 MB
- 05 Tutorial_ Numerical on Backpropagation/003 Forward Propagation of Artificial Neural Network.mp4 128.0 MB
- 06 Workshop_ Coding Artificial Neural Network from Scratch/004 Coding dense layer [must know Object Oriented Programming].mp4 121.3 MB
- 03 Prerequisite_ ML libraries for data preprocessing/004 Data Preprocessing Part 3.mp4 117.9 MB
- 02 Optional but Recommended [Learn Python in Easy Way]/011 Built-in Modules and Creating your own Modules.mp4 117.2 MB
- 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/002 Introduction to Neural Networks.mp4 116.4 MB
- 02 Optional but Recommended [Learn Python in Easy Way]/021 Basic Inheritance in Python.mp4 113.8 MB
- 01 Introduction/004 Introduction to Jupyter Notebook.mp4 111.4 MB
- 01 Introduction/005 Introduction to Artificial Intelligence and Machine Learning [lecture].mp4 110.5 MB
- 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/008 Introduction to the Activation Function.mp4 105.6 MB
- 06 Workshop_ Coding Artificial Neural Network from Scratch/005 Introduction to Activation Function.mp4 104.9 MB
- 02 Optional but Recommended [Learn Python in Easy Way]/008 Operators and Operands.mp4 104.4 MB
- 06 Workshop_ Coding Artificial Neural Network from Scratch/002 Coding neuron layer.mp4 94.6 MB
- 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/006 Updating the weights [partial differentiation].mp4 92.5 MB
- 03 Prerequisite_ ML libraries for data preprocessing/007 Train and Test Splitting of Data.mp4 89.5 MB
- 02 Optional but Recommended [Learn Python in Easy Way]/006 Data Types_ String, Set and Numbers.mp4 86.0 MB
- 07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/004 Experimentation of hyper parameters.mp4 86.0 MB
- 01 Introduction/003 Set up environment and Download Machine Learning Libraries.mp4 80.5 MB
- 02 Optional but Recommended [Learn Python in Easy Way]/017 Looping in Python_ for Loops.mp4 78.5 MB
- 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/012 Introduction to Stochastic Gradient Descent and Adam Optimizer.mp4 78.0 MB
- 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/003 Inspiration and representation for Neural Network.mp4 77.1 MB
- 05 Tutorial_ Numerical on Backpropagation/004 Error in the problem.mp4 75.7 MB
- 03 Prerequisite_ ML libraries for data preprocessing/005 Introduction to numpy module.mp4 71.9 MB
- 05 Tutorial_ Numerical on Backpropagation/001 Derivative of sigmoid function [must watch].mp4 69.5 MB
- 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/004 History and Application of Neural Network.mp4 69.5 MB
- 06 Workshop_ Coding Artificial Neural Network from Scratch/006 Implementation of activation function [step and sigmoid].mp4 69.3 MB
- 01 Introduction/002 Install anaconda on your machine.mp4 69.1 MB
- 06 Workshop_ Coding Artificial Neural Network from Scratch/001 Setting up environment and coding single neuron.mp4 68.8 MB
- 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/001 Introduction to Artificial Intelligence.mp4 68.3 MB
- 03 Prerequisite_ ML libraries for data preprocessing/008 Encoding Process in Machine Learning.mp4 68.0 MB
- 02 Optional but Recommended [Learn Python in Easy Way]/007 Data Types_ List, Dictionaty and Tuple.mp4 67.5 MB
- 02 Optional but Recommended [Learn Python in Easy Way]/010 Comments and User Input.mp4 66.0 MB
- 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/010 Why we use regularization in the Neural Network.mp4 63.1 MB
- 02 Optional but Recommended [Learn Python in Easy Way]/013 Python _Dictionary_ Data Structures.mp4 62.6 MB
- 06 Workshop_ Coding Artificial Neural Network from Scratch/007 Implementation of activation function [tanh and ReLu].mp4 62.0 MB
- 07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/003 Evaluation of the model (Neural Network).mp4 61.4 MB
- 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/011 Introduction to the gradient descent [review].mp4 60.5 MB
- 02 Optional but Recommended [Learn Python in Easy Way]/005 Variables on Python.mp4 57.8 MB
- 02 Optional but Recommended [Learn Python in Easy Way]/004 How to read Python documentation.mp4 57.6 MB
- 02 Optional but Recommended [Learn Python in Easy Way]/003 Download and setup Pycharm code editon on Linux.mp4 57.2 MB
- 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/007 Introduction to partial differentiation.mp4 56.1 MB
- 02 Optional but Recommended [Learn Python in Easy Way]/001 Download and setup Pycharm code editor on Windows.mp4 55.8 MB
- 02 Optional but Recommended [Learn Python in Easy Way]/009 Logical Operators and Operations.mp4 53.1 MB
- 02 Optional but Recommended [Learn Python in Easy Way]/015 Python Conditionals_ if...else statements.mp4 49.6 MB
- 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/005 Example of neural network.mp4 49.4 MB
- 06 Workshop_ Coding Artificial Neural Network from Scratch/003 Using dot product to code neuron layer.mp4 49.1 MB
- 02 Optional but Recommended [Learn Python in Easy Way]/022 Multiple Inheritance in Python.mp4 47.5 MB
- 05 Tutorial_ Numerical on Backpropagation/002 Introduction to the problem.mp4 45.3 MB
- 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/009 Why do we need bias in the program.mp4 44.8 MB
- 02 Optional but Recommended [Learn Python in Easy Way]/023 __name__ == __main__.mp4 42.4 MB
- 02 Optional but Recommended [Learn Python in Easy Way]/014 Python Indentation.mp4 41.2 MB
- 02 Optional but Recommended [Learn Python in Easy Way]/002 Download Visual Studio code editor on Windows (Optional).mp4 34.9 MB
- 02 Optional but Recommended [Learn Python in Easy Way]/019 Default Arguments in Python.mp4 33.0 MB
- 03 Prerequisite_ ML libraries for data preprocessing/001 Data Types in Machine Learning.mp4 31.6 MB
- 02 Optional but Recommended [Learn Python in Easy Way]/016 Looping in Python_ while Loops.mp4 31.4 MB
- 01 Introduction/001 Introduction.mp4 24.3 MB
- 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/013 Introduction to mini-batch SGD.mp4 16.2 MB
- 05 Tutorial_ Numerical on Backpropagation/052 A Step by Step Backpropagation.pdf 3.9 MB
- 05 Tutorial_ Numerical on Backpropagation/053 A Step by Step Backpropagation.pdf 3.9 MB
- 05 Tutorial_ Numerical on Backpropagation/054 A Step by Step Backpropagation.pdf 3.9 MB
- 05 Tutorial_ Numerical on Backpropagation/056 A Step by Step Backpropagation.pdf 3.9 MB
- 07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/064 MLP workshop/MLP workshop.ipynb 1.4 MB
- 07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/065 MLP workshop/MLP workshop.ipynb 1.4 MB
- 07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/066 MLP workshop/MLP workshop.ipynb 1.4 MB
- 07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/067 MLP workshop/MLP workshop.ipynb 1.4 MB
- 03 Prerequisite_ ML libraries for data preprocessing/038 Confusion Matrix for your Multi-Class ML Model.pdf 267.6 KB
- 06 Workshop_ Coding Artificial Neural Network from Scratch/061 Activation function/Activation function.ipynb 71.6 KB
- 06 Workshop_ Coding Artificial Neural Network from Scratch/062 Activation function/Activation function.ipynb 71.6 KB
- 06 Workshop_ Coding Artificial Neural Network from Scratch/063 Activation function/Activation function.ipynb 71.6 KB
- 06 Workshop_ Coding Artificial Neural Network from Scratch/057 Artificial NN from scratch/Artificial NN from scratch.ipynb 9.2 KB
- 06 Workshop_ Coding Artificial Neural Network from Scratch/058 Artificial NN from scratch/Artificial NN from scratch.ipynb 9.2 KB
- 06 Workshop_ Coding Artificial Neural Network from Scratch/059 Artificial NN from scratch/Artificial NN from scratch.ipynb 9.2 KB
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