At *least* $20k :)
With tools like Colab, Keras, and TensorFlow, virtually anyone can solve in a day, with no initial investment, problems that would have required an engineering team working for a quarter and $20k in hardware in 2014
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It's shocking to see how fast the AI community has grew.
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And, crucially, we can use the tools to generate artificial Pokemons.
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Or a month if you don't have eager execution turned on! Hahaha just playin'
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Not quite. There's the problem of availability and interfaces. There's much more than the notebook, which means the deployment and data engineering still has to happen "somehow", either by a team or by a tool. We're making http://iko.ai to do just that.
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I humbly submit @GCPcloud for your consideration
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For some values of “virtually anyone” that are inversely related to “initial investment”.
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Sounds super. I’m just now learning, though I have a background in engineering. Two questions, if I may: 1. Are there places I can learn about 2-3 examples that approach what you describe here (hard problems solved in days); 2. What do you feel is the best place to start hands-on
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Can highly recommend https://www.manning.com/books/deep-learning-with-python … lots of great examples
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Not to mention BERT having said that many of the ML people lack understanding of basic statistics, calculus and these are beyond resources
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