Build on your existing knowledge with intermediate multi-domain embeddings techniques and real-world applications.
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Linear algebra, partial derivatives, chain rule
Confident Python programmer; experience with one DL framework
But what is a neural network? | Deep learning chapter 1
IntermediateThe Essential Main Ideas of Neural Networks
IntermediateTransformers Explained - How transformers work
IntermediateIllustrated Guide to Transformers Neural Network: A step by step explanation
IntermediateTransformer Neural Networks - EXPLAINED! (Attention is all you need)
IntermediateNatural Language Processing: Crash Course AI #7
IntermediateBut what is a neural network? | Deep learning chapter 1
IntermediateThe Essential Main Ideas of Neural Networks
IntermediateTransformers Explained - How transformers work
IntermediateIllustrated Guide to Transformers Neural Network: A step by step explanation
IntermediateTransformer Neural Networks - EXPLAINED! (Attention is all you need)
IntermediateNatural Language Processing: Crash Course AI #7
IntermediateFollow these courses in order to complete the learning path. Click on any course to enroll.
But what is a neural network? | Deep learning chapter 1
The Essential Main Ideas of Neural Networks
Transformers Explained - How transformers work
Illustrated Guide to Transformers Neural Network: A step by step explanation
Transformer Neural Networks - EXPLAINED! (Attention is all you need)
Natural Language Processing: Crash Course AI 7
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Build on your existing knowledge with intermediate multi-domain embeddings techniques and real-world applications.
You'll work through Deepen your understanding with advanced concepts; Build more complex real-world projects; Learn optimization and best practices; Design and implement neural network architectures; Train deep learning models using PyTorch or TensorFlow; Apply CNNs for computer vision tasks.
About 2 hours of study across 6 courses — and you can go at your own pace.
It's pitched at intermediate level, so a little prior familiarity helps.
6 curated courses, sequenced from foundational to advanced.
The courses in this path can be started for free.
Enroll in this path to track your progress and stay motivated.