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I would find a few things that you are interested in, write deep learning models around these areas of interests (it is OK to clone similar Keras or PyTorch exa
by mark_l_watson 5y ago
I would find a few things that you are interested in, write deep learning models around these areas of interests (it is OK to clone similar Keras or PyTorch examples and modify/extend them).
Then, bravely apply for deep learning jobs, admit to no professional experience but point to your models on GitHub and be ready to be able to carefully explain what you did, how you worked around problems, etc.
Be willing to take an entry level position.
Also, learn to be flexible about spending a lot of effort learning whatever domain your future employers work in. Learn their businesses, how they operate, what data they have, etc.
- magicalhippo 5y ago> write deep learning models around these areas of interests I've read tons of articles on how to assemble models using PyTorch etc, but very little on how to design them. Like overall architecture to use for what problems, conditioning of input data, number of layers, width of layers at each depth. I haven't read this book yet, so maybe this has some on that, but are there any other decent resources that go a bit into this? At least something that gives some overall pointers, I'm guessing this can get quite involved quite fast.
- mark_l_watson 5y agoYou might look through the Keras examples https://keras.io/examples/ https://keras.io/examples/ Find Somerville to your application.