Neural Networks

Focusing on Computer Vision

This is going to be serial posting on the topic of neural networks

Part 1: Layers and Back-Propagation

Explain FeedForward and BackPropagation

A Summary of Neural Network Layers

Part 2: Network Structure

A Summary of Pretrained Neural Network

Different Neural Network Structure Explained

GANs, cGANs, AE, AAE, AVE, CAAE, CAVE

Generative Adversarial Network

Part 3: Hands-on

With contents of loss functions, activation functions. Gradient vanishing/exploding.

Notes with Neural Networks

Regularization in Deep Neural Network Training

A Walk-through of Cost Functions