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Free module

Deep learning

Learn deep learning hands on: neural network layers, the forward pass, gradient descent, overfitting and convolutions.

5 lessons280 min lessonAI and data science

The lessons

Each lesson is free to read in full. Create a free account to run its commands in a live lab and to sit its quizzes and tasks.

  1. 1 · Container lab

    What the layers of a neural network do

    I can describe what the layers of a neural network do.

    Read the lesson

  2. 2 · Container lab

    Forward pass through a neural network

    I can work out what a small neural network outputs, layer by layer.

    Read the lesson

  3. 3 · Container lab

    Gradient descent and the learning rate

    I can explain how a network learns from its errors.

    Read the lesson

  4. 4 · Container lab

    Overfitting and early stopping

    I can spot overfitting and stop training before it gets worse.

    Read the lesson

  5. 5 · Container lab

    Convolutions and pooling explained

    I can explain how a convolution finds a pattern in a grid of numbers.

    Read the lesson

Worked in a real lab

Every lesson of this module is worked in a lab started for you alone. The labs it uses:

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