Topics

Duration

32 Weeks

Progress

0/20

Learning Progress0%

AI Roadmap

Neural Networks

Learning Path

Follow these concepts in order to master this topic.

Introduction to Neural Networks

Artificial Neurons

Weights & Biases

Network Architecture

Input Layer

Hidden Layers

Output Layer

Forward Propagation

Activation Functions

Loss Functions

Backpropagation

Gradient Descent

Weight Initialization

Vanishing & Exploding Gradients

Batch Normalization

Dropout

Residual Connections

Training Neural Networks

Hyperparameter Tuning

Neural Network Best Practices

Documentation

Official documentation and references.

TensorFlow Neural Networks Guide

Recommended

Keras Sequential Model Guide

PyTorch nn Documentation

Video Courses

Neural Networks Explained

18m

Backpropagation Explained

13m

Practice Websites

Practice what you've learned.

TensorFlow Playground

Kaggle Learn - Intro to Deep Learning

Google Colab

Projects

Apply what you've learned by building real projects.

Build a Neural Network for MNIST Digit Classification

Beginner

Predict House Prices Using a Neural Network

Intermediate

Design and Optimize a Deep Neural Network

Advanced