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Module - 01 - Single Neurons & MLP
Intoduction to Deep_Learning_ver-1.0
Neuron Mathematical Model_ver-1.0
Multi-layer_Perceptron_Part-01_ver-1.0
Multi-layer_Perceptron_Part-02_ver-1.0
MLP_Notation_ver-1.0
Introduction to Deep Learning-Module-01_ver-1.0
Module - 02 - Training a Single Neuron & MLP
Training_Single_Neuron_ver-1.0
Training_MLP-part1_ver-1.0
Training_MLP-part2-(Chain Rule)_ver-1.0
Training_MLP-part3_ver-1.0
Memoization_ver-1.0
Back-Propagation_Part-01_ver-1.0
Back-Propagation_Part-02_ver-1.0
Introduction to Deep Learning-Module-02_ver-1.0
Module - 03 - Activation Functions
Activation Function_ver-1.0
Sigmoid Activation Function_ver-1.0
RELU_Activation_Function_ver-1.0
Introduction to Deep Learning-Module-03_ver-1.0
Module - 04 - Optimizers
Gradient Descent & Stochastic Gradient Descent - PART_01_ver-1.0
Gradient Descent & Stochastic Gradient Descent - PART_02_ver-1.0
Stochastic Gradient Descent+Momentum -Part01_ver-1.0
Stochastic Gradient Descent+Momentum -Part02_ver-1.0
ADAGRAD OPTIMIZER_ver-1.0
ADA DELTA & RMS PROP_ver-1.0
ADAM OPTIMIZER_ver-1.0
Introduction to Deep Learning-Module-04_ver-1.0
Module - 04 - Cross Entropy & Softmax
Softmax1_ver-1.0
Cross_Entropy1_ver-1.0
Introduction to Deep Learning-Softmax Function & Cross Entropy_ver-1.0
Module - 05 - Tensor Flow
Tensor_Flow_ver-1.0
Tensorflow Installation_ver-1.0
Module - 06 - Sample Classification Project
Project Description_ver-1.0
Dog_Cat_Classification_Part01_ver-1.0
Dog_Cat_Classification_Part02_ver-1.0
Dog_Cat_Classification_Part03_ver-1.0
Dog_Cat_Classification_Part04a_ver-1.0
Dog_Cat_Classification_Part04b_ver-1.0
Dog_Cat_Classification_Part05_ver-1.0
Module - 07 - Image Classification using a Multi-layer Perceptron (MLP)
Fashion_mnist_Part01_ver-1.0
Fashion_mnist_Part2_ver-1.0
Fashion_mnist_Part3_ver-1.0
Fashion_mnist_Part4_ver-1.0
Fashion_mnist_Part5_ver-1.0
Introduction to Deep Learning - Evaluation Quiz