Exercise: Write down the optimization function. The goal is to learn w and b by minimizing the cost function J. For a parameter θ, the update rule is θ=θ−α dθ, where α is the learning rate. def optimize(w,b,X,Y,num_iterations,learning_rate,print_cost=False): costs=[] fo...
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just like that, you’ve graduated to doing machine learning. And so, in the late 1980s, we started seeing machine learning approaches to natural language processing. The earliest ones were based on decision trees—the intent was literally to automate the development of the kind of if/then/els...
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When I first made the claim that in a not-so-distant future, most of the cultural content that we consume will be created with substantial help from AIs, I was met with utter disbelief, even from long-time machine learning practitioners. That was in 2014. Fast-forward a few years, and...
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With Python Deep Learning Second Edition, you’ll explore deep learning, and learn how to put machine learning to use in your projects. This book covers the following exciting features: Grasp the mathematical theory behind neural networks and deep learning processes Investigate and resolve computer ...
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