Milestone 4: Deep Learning & Neural Networks

🟥 Milestone 4: Deep Learning & Neural Networks

Transition from statistical models to computational brain-like structures using PyTorch and TensorFlow.

📚 Slow-Paced Deep Dives (University Modules)

• Module 1: The Perceptron (The Single Brain Cell): DL-401. The basic unit of the brain.
• Module 2: Multilayer Neural Networks (The Brain): DL-402. Connecting neurons into layers.
• Module 3: Activation Functions (The On/Off Switch): DL-403. ReLU, Sigmoid, and Softmax.
• Module 4: Backpropagation & Optimizers (The Feedback Loop): DL-404. How the brain learns.

🚀 The Senior’s Perspective

• Advanced Neural Architectures: CNNs, RNNs, and Framework selection.

🥅 Milestone Goals

1. Understand the mathematical model of a Neuron.
2. Stacking layers to find Complex Patterns.
3. Tune the Learning Rate to optimize training.
4. Distinguish between Loss Functions for different problems.

:::tip Quick Start Check out the Deep Learning Overview for a summary of foundational concepts. :::