Neural Networks

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

A Summary of Pretrained Neural Network

For engineers or scientists who work in the field of Natural language processing(NLP) or Computer Vision (CV), designing a model that works for specific task on specified data does not mean we need to start from scratch. As we know a neural network = feature…

Explain FeedForward and BackPropagation

I have read many blogs and papers to try to get a clear and pleasant way to explain one of…

A Summary of Neural Network Layers

A core step learning and applying neural networks in real project is to understand different neural network layers: various convolution layers, pooling layers, Deconvolotuional layers, fully connected layers, or fully connected convolution layers. To understand it, we…

Notes with Neural Networks

1. a stack of smaller filters vs a single filter with large receptive field