Course Content Understanding Nervous System for Neural Networks Understanding Perceptron Training a Single Perceptron Back Propagation Multi-layer Perceptron Neural Network Training Multi-layer Perceptron Back Propagation Sigmoid and Tanh Activation Functions The Power of Neural Network How it Provide Nonlinearity Relu Leaky Relu and Swish Activation Functions Convex Non-Convex Functions and Contour for Neural Network Saddle Point in Neural Network Problem with SGD in Neural Network Exponential Weighted Average SGD with Momentum Optimizer Ada Grad and Ada Delta Optimizer Adam Optimizer for Neural Network How Normalization Helps Gradient Descent Scaling and Shifting For Batch Normalization Need of Batch Normalization How Batch Normalization Implemented Regularization in Neural Network Dropout in Neural Network Softmax Activation Function Weather Dataset for Implementing Artificial Neural Network Artificial Neural Network Code on Weather Dataset ANN Images and Neural Network Convolution Operation on Images Neural Network Need of Padding in Convolution Layer Edge Detection in Convolution Layer Stride and Image Size After Convolution Convolution on Color Images Max pooling in Convolution Neural Network CNN How Translation Invariance is solved using Convolution Neural Network CNN Disadvantage of Max pooling in CNN Data Augmentation Uses in Neural Network Flattening and Simple Convolution Neural Network
