近年来人工智能火爆出圈，无数人怀揣着“学会Python就能入行AI”的憧憬涌入这个领域。然而，当满怀激情的你刷完了Python语法、跑通了几个开源项目，却发现在真正的面试或工作中寸步难行——这是为什么？因为仅凭Python基础，你很容易掉进以下几个“天坑”。

Religious wars have been a cornerstone in tech. Whether it’s debating about the pros and cons of different operating systems, cloud providers, or deep learning frameworks — a few beers in, the facts ...

导语：本书提供安装、上机操作指南，同时辅以大量范例程序介绍TensorFlow + Keras深度学习方面的知识。 本书提供安装、上机操作指南，同时辅以大量范例程序介绍TensorFlow + Keras深度学习方面的知识。本书分9部分，共21章，内容主要包括基本概念介绍、TensorFlow 与 ...

Machine learning is a complex discipline but implementing machine learning models is far less daunting than it used to be. Machine learning frameworks like Google’s TensorFlow ease the process of ...

It's possible to create neural networks from raw code. But there are many code libraries you can use to speed up the process. These libraries include Microsoft CNTK, Google TensorFlow, Theano, PyTorch ...

While you can train simple neural networks with relatively small amounts of training data with TensorFlow, for deep neural networks with large training datasets you really need to use CUDA-capable ...