Overview
This course aims to teach learners about the biological inspiration behind Neural Networks and how to implement the Perceptron and Sigmoid Neuron models using TensorFlow.js. By the end of the course, students will be able to understand different activation functions and methods for initializing model weights. The teaching method involves a complete tutorial with source code, covering various topics such as Neural Network architecture, activation functions, and weight initialization. This course is designed for JavaScript developers interested in machine learning and neural networks.
Syllabus
- What is a Neural Network?
- The Perceptron model
- The Sigmoid Neuron
- Architecting Neural Networks
- Activation functions
- Weight initialization
Taught by
Venelin Valkov