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Can I read Practical Deep Learning : A Python-Based Introduction on EtoBox?
Practical Deep Learning : A Python-Based Introduction by Ronald T. Kneusel is a nonfiction available to read on EtoBox.
What is Practical Deep Learning : A Python-Based Introduction about?
**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 the reader hands-on experience with each model and help them build intuition about how to transfer the examples in the book to their own projects. Readers 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 readers 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 the reader the knowledge necessary to understand claims on performa
Who reads Practical Deep Learning : A Python-Based Introduction?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Ronald T. Kneusel
- Publisher
- No Starch Press, Incorporated
- Published
- 2020
- Language
- EN
- ISBN
- 9781098128470
- Category
- nonfiction
- Subjects
- Science, Language Learning, Computer Science
Other editions & translations
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