EAN: 9781718500747

PRACTICAL DEEP LEARNING - RONALD T KNEUSEL KART...

This book is for people with no experience with machine learning and who are looking for an
intuition-based  hands-on introduction to deep learning using Python.  Deep Learning for
Complete Beginners: A Python-Based Introduction is for complete beginners in machine learning.
It introduces fundamental concepts such as classes and labels  building a dataset  and what a
model is and does before presenting classic machine learning models  neural networks  and
modern convolutional neural networks. Experiments in Python--working with leading open-source
toolkits and standard datasets--give you hands-on experience with each model and help you build
intuition about how to transfer the examples in the book to your own projects.  You'll start
with an introduction to the Python language and the NumPy extension that is ubiquitous in
machine learning. Prominent toolkits  like sklearn and Keras TensorFlow are used as the
backbone to enable you to focus on the elements of machine learning without the burden of
writing implementations from scratch. An entire chapter on evaluating the performance of models
gives you the knowledge necessary to understand claims on performance and to know which models
are working well and which are not. The book culminates by presenting convolutional neural
networks as an introduction to modern deep learning. Understanding how these networks work and
how they are affected by parameter choices leaves you with the core knowledge necessary to dive
into the larger  ever-changing world of deep learning.

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