Day01
PyTorch foundations
Morning
Installation, tensors, operations, broadcasting and autograd.
Afternoon
First models, training loop and optimisation.
Any questions?
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Intensive course · 35 hours
PyTorch
Intensive.
Master PyTorch in 5 days: from tensors to training advanced models (CNN, RNN, Transformers) and deploying to production, with a hands-on project.
05d
Intensive days
35 hours
35 hours
Project
A complete
& deployed model
& deployed model
100%
Intensive practice
+ production
+ production
— Programme
5 days to master PyTorch
Day02
Fully connected networks
Morning
MLPs, activation functions, regularisation (Dropout, BatchNorm).
Afternoon
DataLoader, custom datasets and efficient training.
Day03
Convolutional networks (CNNs)
Morning
Convolution, pooling, classic architectures and Transfer Learning.
Afternoon
Image classification project with torchvision.
Day04
Sequences & Transformers
Morning
RNN, LSTM, GRU and an introduction to Transformers.
Afternoon
TorchScript and ONNX export, deployment (TorchServe, API).
Day05
Final project & presentation
Morning
Designing and implementing a complete project.
Afternoon
Optimisation, code review, presentation and certificate.
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