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99## Material for this tutorial
1010
11- - The theoretical lecture can be found here
11+ - The theoretical lecture can be found here:
12+ - [ Part 1: Introduction to neural networks] ( https://github.com/machine-learning-tutorial/neural-networks/blob/main/slides/nns-part1.pdf )
13+ - [ Part 2: Introduction to neural networks] ( https://github.com/machine-learning-tutorial/neural-networks/blob/main/slides/nns-part2.pdf )
14+
1215- The tutorial in slide form is here
1316 - [ Part 1: Neural network basics] ( https://machine-learning-tutorial.github.io/neural-networks/1-neural-networks.html#/ )
1417 - [ Part 2: Training on MNIST dataset] ( https://machine-learning-tutorial.github.io/neural-networks/2-mnist-training.html#/ )
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55scikit-optimize
66torch
77torchvision
8- # jupyterlab
98notebook == 6.4.12
109jupyter_contrib_nbextensions
1110RISE
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