Introductory Practicals on Neural Networks and Deep Learning for Second Year (M2) students following a Master’s program in Statistics.

Total : 12h

Practicals : 12h (Python)

• Implementation of Backprogation using numpy
• Introduction to Tensorflow and Keras
• Convolutional Neural Networks
• Projects : Transfert Learning and Penalization Methods

Based on :

• Deep Learning with Python, François Chollet. Manning, First Edition (2017).
• Deep Learning course, Master Year 2 Data Science IP-Paris (github).
• ML4A : Looking inside neural nets and Convolutional neural networks.