Logbook for July 21

logbook
Published

July 1, 2021

Week 26 - July 21

Thursday 7/1

Paper reviewed on arxiv about revisiting Deep Learning Models for Tabular Data. arXiv:2106.11959v1 (FT-Transformer, ResNet, MLP) architectures can compete with GBDT models. Examples are not detailed in paper but code seems available at https://github.com/yandex-research/rtdl (rtdl (Revisiting Tabular Deep Learning) based on PyTorch)

RL Course by David Silver Exploration and Exploitation (lecture 9)

Week 27 - July 21

Wednesday 7/7

Start of Deep Neural Networks with PyTorch on Coursera by IBM.

Friday 7/9

Deep Neural Networks with PyTorch - week 2 - linear regression

Week 28 - July 21

Monday 7/12

Deep Neural Networks with PyTorch - week 3 - multiple input output linear regression, logistic regression for classification

Deep Neural Networks with PyTorch - week 4 - softmax regression

Thursday 7/15

Deep Neural Networks with PyTorch - week 4 - shallow neural networks

Deep Neural Networks with PyTorch - week 5 - deep neural networks

Friday 7/16

Deep Learning with PyTorch book

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PyTorch Ecosystem day 2021:

Deep Neural Networks with PyTorch - week 6 - convolutional neural networks - even if I don’t need it

Week 30 - July 21

Monday 7/26

Deep Neural Networks with PyTorch - week 7 - fashion mnist

Reading of some papers: