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Introduction to Deep Learning

In this class you will finally get in touch with Artificial Neural Networks and their wide range of applications! Namely, you will get a hand on the famous Deep Learning framework: PyTorch. Then, you will train your first Deep Neural Networks. Enjoy!

Course Materials

Intro to DL Notebook

(Only Granted to AIBT student)
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Project Notebook

(Only Granted to AIBT student)
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Skills you will acquire

Understanding Backprop
Using Optimizers
Basics of PyTorch
Create ANN
Create CNN
Handle a dataset
Train a DL model
Evaluate a DL model

Handful External resources

Some additionnal resources to understand gradient descent gradient:

In addition, some reminder on Neural Networks and Convolutions:

To understand autograd:

A blog post on the subject

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Your Teachers

Yannick Prudent


Lucas Hervier

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This project is maintained by IRT Saint Exupery

Get In Touch with ISAE Supaero

Address

10, avenue Édouard-Belin
BP 54032 - 31055 Toulouse CEDEX 4

Phone

+33 (0)5 61 33 80 80

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