Deep Learning
Neural networks and the ideas behind modern AI, vision and language, layer by layer.
Every lesson runs real code in your browser, checked the moment you submit. No installing anything, no setup, no waiting.
Start Deep Learning freeWhat this course covers
- What is Deep Learning?
- Neural Networks: Brain in Code
- How a Neuron Computes
- Activation Functions
- Deep Learning: Stacked Brains
- Layer by Layer: The Forward Pass
- Loss Functions: Measuring How Wrong
- How a Network Learns: Gradient Descent
- Backpropagation: Tracing Blame Backward
- The Training Loop: Putting It Together
- Learning Rate, Epochs and Batches
- Overfitting in Deep Learning: Dropout and More
- Convolutions: How AI Sees Features
- Computer Vision: Teaching AI to See
- Embeddings: Turning Things into Vectors
- NLP: How Computers Understand Text
- Transfer Learning: Stand on Giants' Shoulders
- Capstone: Train a Tiny Network from Scratch
- CNN Architecture and Pooling
- Sequences and Memory: RNNs and LSTMs
- Transformers and Attention
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