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Deep Learning

Forward and backward passes, normalisation, convolutions and optimisers. Understand training dynamics well enough to debug any model.

Deep Learning EngineerResearch EngineerComputer Vision Engineer
Track progress0 / 116
Start track → ReLU & GELU ActivationsOpen in Learn
0/22Unit 1: 3 to go
Foundations
Unit 1
Activations
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Unit 2
Transformers & Training
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Unit 3
Optimization
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Unit 4
Optimization & CNNs
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Unit 5
Losses
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Unit 6
Augmentation
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Unit 7
NLP
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Unit 8
Attention
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Intermediate
Unit 9
Backprop & Regularization
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Unit 10
CNNs
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Unit 11
Embeddings
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Unit 12
Mixed Precision & Metric Learning
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Unit 13
Attention & Normalization
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Unit 14
Losses & CNNs
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Unit 15
Learning Rate & Optimizers
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Unit 16
Object Detection
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Unit 17
Normalisation
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Unit 18
Generative Models
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Unit 19
Memory
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Unit 20
Inference
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Advanced
Unit 21
Backprop & Attention
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Unit 22
Optimizers
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Unit 23 · Pro
Rnns
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Course complete

Clear every milestone to finish Deep Learning.

Deep Learning · TechGradify