Level 301: Neural Networks
Level 3015 lessons
AI Fundamentals Level 301 - neural networks
Welcome to Level 301 of AI Fundamentals! This level focuses on neural networks.
What You'll Learn
- ReLU, Sigmoid, Tanh: Activation Functions
- Forward and Backward Propagation
- Epochs, Batches and Learning Rate
- What Happens During Training?
Course Structure
2. ReLU, Sigmoid, Tanh: Activation Functions
Learn how activation functions like ReLU, Sigmoid, and Tanh shape the outputs of neurons. Time: 20 min
3. Forward and Backward Propagation
Understand how data flows through a neural network in the forward pass, and how gradients flow backward during training. Time: 25 min
4. Epochs, Batches and Learning Rate
Learn the concepts of epochs, batch size, and learning rate in the training loop of a neural network. Time: 20 min
5. What Happens During Training?
A high-level overview of how a neural network trains step by step: from data to improved predictions. Time: 25 min
Getting Started
Start with the first lesson: ReLU, Sigmoid, Tanh: Activation Functions
Ready to Start Learning?
Begin with the first lesson and build your ai fundamentals course skills step by step.