Plans for the week Feb 19-23

Dear all, welcome back to a new week. We hope you all had a great weekend. Here are the plans for this coming week and note that lecture is in person this week (but we provide a zoom option as always):

Plans for the week February 19-23

1. Mathematics of Convolutional Neural Networks (CNNs), padding, strid, pooling and more

2. Discussion of codes for CNNs, own code, TensorFlow+Keras and PyTorch examples

The lecture notes (some material will be added about pooling and padding+stride, see also whiteboard notes to come) are at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week6/ipynb/week6.ipynb 

Reading recommendations

1. For CNNs, see Goodfellow et al chapter 9. See also chapter 11 and 12 on practicalities and applications

2. Reading suggestions for implementation of CNNs in PyTorch: See Rashcka et al.'s chapter 14. The jupyter-notebook for this chapter is available from Rachska's GitHub site linked here https://github.com/rasbt/machine-learning-book/tree/main/ch14

3. For TensorFlow implementations, we recommend

a. David Foster Generative Learning,  chapter 2 from  https://github.com/davidADSP/Generative_Deep_Learning_2nd_Edition/tree/main/notebooks/02_deeplearning/02_cnn

b. Joseph Babcock and Raghav Bali Generative AI with Python and their GitHub link, chapter 3 which can be fetched from their GitHub address at https://github.com/raghavbali/generative_ai_with_tensorflow

We remind you also that we have a weekly lab session (started last week) on Thursdays at 215pm-4pm, room F?397

Best wishes,

Keran, Morten and Ruben