This newsletter has a lot of content, so make yourself a cup of coffee ☕️, lean back, and enjoy.This time, we have two NLP libraries for PyTorch; a GAN tutorial and Jupyter notebook tips and tricks; lots of things around TensorFlow; two articles on representation learning; insights on how to make NLP & ML more accessible; two excellent essays, one by Michael Jordan on challenges and opportunities for AI, the other by Amid Fish on reproducing a deep RL paper; the Rakuten Data Challenge; and lots of reading material including the NAACL Outstanding Papers.
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NLP PyTorch libraries; GAN tutorial; Jupyter…
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This newsletter has a lot of content, so make yourself a cup of coffee ☕️, lean back, and enjoy.This time, we have two NLP libraries for PyTorch; a GAN tutorial and Jupyter notebook tips and tricks; lots of things around TensorFlow; two articles on representation learning; insights on how to make NLP & ML more accessible; two excellent essays, one by Michael Jordan on challenges and opportunities for AI, the other by Amid Fish on reproducing a deep RL paper; the Rakuten Data Challenge; and lots of reading material including the NAACL Outstanding Papers.