Deep Learning in Python Prerequisites: Master Data Science and Machine Learning

Deep Learning in Python Prerequisites: Master Data Science and Machine Learning

English | 2016 | ASIN: B01D7GDRQ2 | AZW3/MOBI/EPUB/PDF | 43 Pages | 1 MB

Machine Learning
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 prerequisites of neural networks, so that learning about neural networks in the future will seem like a natural extension of these topics. 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.

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 eventually let the neural network learn these things for us. Each layer of the neural network is made up of logistic regression units.

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