设计星素材分享平台 Deep Learning in Python

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Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python, Theano, and TensorFlow (Machine Learning in Python) by LazyProgrammer English | March 11, 2016 | ASIN: B01CVJ19E8 | 38 Pages | AZW3/MOBI/EPUB/PDF (conv) | 1.19 MB

Deep learning is making waves. At the time of this writing (March 2016), Google’s AlghaGo program just beat 9-dan professional Go player Lee Sedol at the game of Go, a Chinese board game. Experts in the field of Artificial Intelligence thought we were 10 years away from achieving a victory against a top professional Go player, but progress seems to have accelerated! While deep learning is a complex subject, it is not any more difficult to learn than any other machine learning algorithm. I wrote this book to introduce you to the basics of neural networks. You will get along fine with undergraduate-level math and programming skill. All the materials in this book can be downloaded and installed for free. We will use the Python programming language, along with the numerical computing library Numpy. I will also show you in the later chapters how to build a deep network using Theano and TensorFlow, which are libraries built specifically for deep learning and can accelerate computation by taking advantage of the GPU. Unlike other machine learning algorithms, deep learning is particularly powerful because it automatically learns features. That means you don’t need to spend your time trying to come up with and test “kernels” or “interaction effects” - something only statisticians love to do. Instead, we will let the neural network learn these things for us. Each layer of the neural network learns a different abstraction than the previous layers. For example, in image classification, the first layer might learn different strokes, and in the next layer put the strokes together to learn shapes, and in the next layer put the shapes together to form facial features, and in the next layer have a high level representation of faces. On top of all this, deep learning is known for winning its fair share Kaggle contests. These are machine learning contests that are open to anyone in the world who are allowed to use any machine learning technique they want. Deep learning is that powerful. Data Science and Machine Learning Data science is a trending field in tech and a big part of it is “machine learning”. These are programs that can learn automatically learn what their output should be, instead of trying to manually program it yourself. Many startups who are starting to see growth now want to quantify their data and perform analyses that optimize sales, customers, and profit.

最近的消息，谷歌的深度学习机已经产生了“梦想图像”。他们的机器非常像大脑，他们可以产生梦想！在本课程中，我们将介绍Google为深度学习而制作的技术，称为TensorFlow。我们也要去看一个已经存在了很长时间的Theano的图书馆。我将向您展示如何使用这两个非常棒的工具从头开始构建神经网络。本课程结束后，你就可以把你学到的东西，并在你的公司创造非常强大的机器学习模型做的事情，如体育博彩，股市预测和收入优化。你是否想对这个“黑暗艺术”进行一个温柔的介绍，用实际的代码示例，你可以立即尝试并应用到你自己的数据？那么这本书是给你的。

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