SCHOOLWHOOL CLASSROOM · INTERMEDIATE

Deep Learning
Course

Neural networks from first principles, then the architectures behind modern AI.

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Included in Early Access 25% off for the waitlist

5 modules 13 lessonsIntermediate Your own paceJob-ready Ends in a portfolio project

YOUR NEXT LEARNING CHAPTER

A little theory. A lot of discovery.

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COURSE PREVIEW

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Course outline

5 modules · 0 videos available · 13 lessons

Each lesson has its own page.

01Neural Network Foundations3 lessons

The perceptron and the artificial neuronComing soon

Multi-layer networks and activation functionsComing soon

Backpropagation step by stepComing soon

02Training Deep Networks3 lessons

Loss functions and optimisersComing soon

Initialisation, batch normalisation and dropoutComing soon

Learning rate schedules and debugging trainingComing soon

03Deep Learning with PyTorch2 lessons

Tensors and autograd in PyTorchComing soon

Building and training a model in PyTorchComing soon

04Architectures3 lessons

Convolutional Neural NetworksComing soon

Recurrent networks and LSTMsComing soon

Attention and the TransformerComing soon

05Deep Learning Project2 lessons

Transfer learning and fine-tuningComing soon

End-to-end deep learning projectComing soon

Open to everyone. Always learn at your pace.

BUILT FOR THE CURIOUS

Understand the why.
Then build the how.

Learn deep learning from the neuron up: backpropagation, training deep networks, PyTorch, CNNs, RNNs and Transformers, ending in a project of your own.

What you’ll learn

Explain and implement backpropagation.
Train deep networks reliably in PyTorch.
Choose between CNNs, RNNs and Transformers.
Fine-tune a pretrained model on your own data.

Before you start

The Machine Learning course, or equivalent comfort with Python, gradients and model evaluation.

Part of SchoolWhool Early Access.

Roles this course prepares you for

Live openings from companies' own career pages, updated continuously.

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Questions about this course

What is the difference between machine learning and deep learning?

Deep learning is the part of machine learning that uses many-layered neural networks. It powers vision, language and generative AI.

Which framework does the course use?

PyTorch, the framework most used in research and increasingly in industry.

Deep LearningCourse