Intermediate~20 hours5 lessons

Neural Networks & Deep Learning

Dive deeper into how neural networks learn. Build a computer vision model from scratch.

What you'll build: an image classification CNN

Curriculum

Module A: Inside the Black Box

3 lessons

Understand how neural networks learn by calculating gradients and updating weights.

Explore different algorithms used to minimize loss in deep learning models.

Write your first deep neural network from scratch using PyTorch.

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Visualize how neural networks learn by descending the loss landscape through gradient-based optimization.

Module B: Seeing the World (Computer Vision)

2 lessons

Learn how filters and pooling layers extract visual features from images.

Train a CNN to classify real-world images with high accuracy.

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The math and intuition behind convolutions — the key operation powering computer vision models.

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