![]() ![]() ![]() As I watched scores of newcomers use Keras in unexpected, powerful ways, I came to care deeply about the accessibility and democratization of AI. But throughout 20, tens of thousands of new people entered the field of deep learning many of them picked up Keras because it was-and still is-the easiest framework to get started with. I had been doing research in machine learning for several years, and had built Keras to help me with my own experiments. When I released the first version of the Keras deep-learning framework in March 2015, the democratization of AI wasn’t what I had in mind. For deep learning to reach its full potential, we need to radically democratize it. But in order to begin deploying deep-learning technology to every problem that it could solve, we need to make it accessible to as many people as possible, including nonexperts-people who aren’t researchers or graduate students. ![]() The consequences of this sudden progress extend to almost every industry. In a mere five years, we’ve gone from near-unusable image recognition and speech transcription, to superhuman performance on these tasks. If you’ve picked up this book, you’re probably aware of the extraordinary progress that deep learning has represented for the field of artificial intelligence in the recent past. ![]()
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