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An ordered journey

Deep Learning Engineer

Understand representations, gradients, and architectures.

For: ML practitioners
Prerequisites: Linear algebra and Python

8 stages · Beginner → Intermediate → Advanced
  1. Beginner

    Linear Algebra

    Dedicated reading is planned for this stage.


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  2. Beginner

    Neural Networks

    Simple operations. Learned representations. →
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  3. Beginner

    Backpropagation

    Simple operations. Learned representations. →
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  4. Intermediate

    CNN

    Dedicated reading is planned for this stage.


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  5. Intermediate

    RNN/LSTM

    Dedicated reading is planned for this stage.


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  6. Intermediate

    Attention

    Attention changed how information moves. →
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  7. Advanced

    Transformers

    Attention changed how information moves. →
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  8. Advanced

    Multimodal Learning

    Dedicated reading is planned for this stage.


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