04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/006 Updating the weights [partial differentiation].mp4 97.0 MB
03 Prerequisite_ ML libraries for data preprocessing/007 Train and Test Splitting of Data.mp4 93.8 MB
02 Optional but Recommended [Learn Python in Easy Way]/006 Data Types_ String, Set and Numbers.mp4 90.2 MB
07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/004 Experimentation of hyper parameters.mp4 90.1 MB
01 Introduction/003 Set up environment and Download Machine Learning Libraries.mp4 84.4 MB
02 Optional but Recommended [Learn Python in Easy Way]/017 Looping in Python_ for Loops.mp4 82.4 MB
04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/012 Introduction to Stochastic Gradient Descent and Adam Optimizer.mp4 81.8 MB
04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/003 Inspiration and representation for Neural Network.mp4 80.8 MB
05 Tutorial_ Numerical on Backpropagation/004 Error in the problem.mp4 79.4 MB
03 Prerequisite_ ML libraries for data preprocessing/005 Introduction to numpy module.mp4 75.4 MB
05 Tutorial_ Numerical on Backpropagation/001 Derivative of sigmoid function [must watch].mp4 72.9 MB
04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/004 History and Application of Neural Network.mp4 72.9 MB
06 Workshop_ Coding Artificial Neural Network from Scratch/006 Implementation of activation function [step and sigmoid].mp4 72.7 MB
01 Introduction/002 Install anaconda on your machine.mp4 72.4 MB
06 Workshop_ Coding Artificial Neural Network from Scratch/001 Setting up environment and coding single neuron.mp4 72.1 MB
04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/001 Introduction to Artificial Intelligence.mp4 71.6 MB
03 Prerequisite_ ML libraries for data preprocessing/008 Encoding Process in Machine Learning.mp4 71.3 MB
02 Optional but Recommended [Learn Python in Easy Way]/007 Data Types_ List, Dictionaty and Tuple.mp4 70.8 MB
02 Optional but Recommended [Learn Python in Easy Way]/010 Comments and User Input.mp4 69.2 MB
04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/010 Why we use regularization in the Neural Network.mp4 66.2 MB
02 Optional but Recommended [Learn Python in Easy Way]/013 Python _Dictionary_ Data Structures.mp4 65.6 MB
06 Workshop_ Coding Artificial Neural Network from Scratch/007 Implementation of activation function [tanh and ReLu].mp4 65.1 MB
07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/003 Evaluation of the model (Neural Network).mp4 64.4 MB
04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/011 Introduction to the gradient descent [review].mp4 63.5 MB
02 Optional but Recommended [Learn Python in Easy Way]/005 Variables on Python.mp4 60.6 MB
02 Optional but Recommended [Learn Python in Easy Way]/004 How to read Python documentation.mp4 60.4 MB
02 Optional but Recommended [Learn Python in Easy Way]/003 Download and setup Pycharm code editon on Linux.mp4 60.0 MB
04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/007 Introduction to partial differentiation.mp4 58.8 MB
02 Optional but Recommended [Learn Python in Easy Way]/001 Download and setup Pycharm code editor on Windows.mp4 58.5 MB
02 Optional but Recommended [Learn Python in Easy Way]/009 Logical Operators and Operations.mp4 55.6 MB
02 Optional but Recommended [Learn Python in Easy Way]/015 Python Conditionals_ if...else statements.mp4 52.0 MB
04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/005 Example of neural network.mp4 51.8 MB
06 Workshop_ Coding Artificial Neural Network from Scratch/003 Using dot product to code neuron layer.mp4 51.5 MB
02 Optional but Recommended [Learn Python in Easy Way]/022 Multiple Inheritance in Python.mp4 49.8 MB
05 Tutorial_ Numerical on Backpropagation/002 Introduction to the problem.mp4 47.5 MB
04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/009 Why do we need bias in the program.mp4 47.0 MB
02 Optional but Recommended [Learn Python in Easy Way]/023 __name__ == __main__.mp4 44.5 MB
02 Optional but Recommended [Learn Python in Easy Way]/014 Python Indentation.mp4 43.2 MB
02 Optional but Recommended [Learn Python in Easy Way]/002 Download Visual Studio code editor on Windows (Optional).mp4 36.6 MB
02 Optional but Recommended [Learn Python in Easy Way]/019 Default Arguments in Python.mp4 34.6 MB
03 Prerequisite_ ML libraries for data preprocessing/001 Data Types in Machine Learning.mp4 33.1 MB
02 Optional but Recommended [Learn Python in Easy Way]/016 Looping in Python_ while Loops.mp4 32.9 MB
01 Introduction/001 Introduction.mp4 25.5 MB
04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/013 Introduction to mini-batch SGD.mp4 17.0 MB
05 Tutorial_ Numerical on Backpropagation/052 A Step by Step Backpropagation.pdf 4.1 MB
05 Tutorial_ Numerical on Backpropagation/053 A Step by Step Backpropagation.pdf 4.1 MB
05 Tutorial_ Numerical on Backpropagation/054 A Step by Step Backpropagation.pdf 4.1 MB
05 Tutorial_ Numerical on Backpropagation/056 A Step by Step Backpropagation.pdf 4.1 MB