Neural Networks Fundamentals

A quick intro for Neural Networks, Unsupervised and Supervised Learning, the difference between Regression and Classification and their simple modeling with neural networks, example implementation from scratch with Python

This is the first part of an end-to-end flow about Neural Networks and their usage for different tasks. The contents of the whole flow are as below:

• Neural Network Fundamentals

1. General Structure of a Neural Network
2. Unsupervised Learning
3. Supervised Learning
4. Deep Neural Networks
5. Activation Function Types and Optimization Techniques

• Image Classification

Image Classification with Convolutional Neural Networks

1. Convolutional Neural Networks
2. Popular Neural Network Architectures for Image Classification
3. Using Tensorflow for Image Classification

• Object Detection