Machine learning books and papers
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MNIST reborn, restored and expanded.
Now with an extra 50,000 training samples.

If you used the original #MNIST test set more than a few times, chances are your models #overfit the test set. Time to test them on those extra samples.

Now you will use #QMNIST instead of #MNIST
Detailed explanation at #paper: 👇

https://arxiv.org/pdf/1905.10498.pdf

and it's #implementation and some results by using #pytorch: 👇

https://github.com/facebookresearch/qmnist
Ketkar-Moolayil2021_Book_DeepLearningWithPython.pdf
5.2 MB
Deep Learning
with Python
Learn Best Practices of
Deep Learning Models
with PyTorch Ketkar, Nikhil ; Moolayil, Jojo #2021 #DL #Book #PyTorch @Machine_learn
Deep-Learning-with-PyTorch-Quick-Start-Guide (1).pdf
6.4 MB
Deep Learning with PyTorch Quick Start Guide
Learn to train and deploy neural network models in Python
David Julian #Book #PyTorch @Machine_learn