|  | | | Deep learning is rapidly becoming the most preferred way of solving data problems. This is thanks, in part, to its huge variety of mathematical algorithms and their ability to find patterns that are otherwise invisible to us. | | | Deep Learning from the Basics begins with a fast-paced introduction to deep learning with Python, its definition, characteristics, and applications. You'll learn how to use the Python interpreter and the script files in your applications, and utilize NumPy and Matplotlib in your deep learning models. As you progress through the book, you'll discover backpropagation—an efficient way to calculate the gradients of weight parameters—and study multilayer perceptrons and their limitations, before, finally, implementing a three-layer neural network and calculating multidimensional arrays. | | | By the end of the book, you'll have the knowledge to apply the relevant technologies in deep learning. Free offer expires 24 Nov 2021. | | | | | | See more free offers like these | | Forward this offer to a friend | | | This is a third-party offer organised through our distribution service, TradePub. You will be required to fill in a short form to access the download, which you will only have to do once. By doing so, you agree to TradePub's privacy policy. | | | | | |
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