639: Simplifying Machine Learning
Super Data Science: ML & AI Podcast with Jon Krohn
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PyTorch, Tensor Flow, and Deep Learning
For a while, tensor flow was really a pain to use. PyTorch is definitely it is more Pythonic and it also is much easier to follow up on stack trace issues. So when you get an error in tensor flow, you get these super long stack traces that don't make any sense even when you get all the way down to the bottom of the errors. With PyTorch, typically I can just read it and understand what my mistake was and fix it.
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