Friday, May 15
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1414 topics
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75across 14 sections
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Your courses
All coursesMF6 lessons
Math Foundations
The calculus and linear algebra behind every neural net
Open course
Ba6 lessons
Build a Neural Net
Neurons, layers, and backprop — wired by hand
Open course
P4 lessons
PyTorch
Swap NumPy for autograd and GPUs
Open course
T4 lessons
Training
The loop, the diagnostics, the first real model
Open course
C&6 lessons
CNNs & Vision
Filters, feature maps, and the architectures that taught machines to see
Open course
R&5 lessons
RNN & LSTM
Sequence modeling before attention — and the problems that motivated it
Open course
Recent activity
Live- Priya Nair · Attention and Self-Attention8 attention-mask interactions in the last 10 minutes12 min ago
- Rahul Verma · Bias-Variance TradeoffCompleted with 91% understanding score27 min ago
- Sneha PatelFlagged for low engagement across 3 consecutive lessons1 hour ago
- Fine-tuning and Transfer LearningPublished to 180 students in ML Fundamentals3 hours ago
- Aditya Sharma · Gradient DescentReached optimal convergence on first attempt4 hours ago
Watchlist
3 students need a check-in before the next lecture.
- PNPriya NairStruggling with attention mechanism — 8 retries on causal masking
- SPSneha PatelAt risk — low score across regularisation and bias-variance
- DMDivya MenonWatch — multiple retries on gradient descent learning rate