Practical Deep Learning: A Python-Based Introduction

Price: $59.99 – $39.44
(as of Nov 27,2024 07:08:23 UTC – Details)

Publisher ‏ : ‎ No Starch Press (February 23, 2021)
Language ‏ : ‎ English
Paperback ‏ : ‎ 464 pages
ISBN-10 ‏ : ‎ 1718500742
ISBN-13 ‏ : ‎ 978-1718500747
Item Weight ‏ : ‎ 1.93 pounds
Dimensions ‏ : ‎ 7.13 x 0.96 x 9.25 inches

Are you interested in diving into the world of deep learning but don’t know where to start? Look no further! In this post, we will provide a practical introduction to deep learning using Python.

Deep learning is a subset of machine learning that focuses on training neural networks to learn from data. Python is a popular programming language for deep learning due to its simplicity and powerful libraries such as TensorFlow, Keras, and PyTorch.

To get started with deep learning in Python, you will need to install the necessary libraries on your machine. Once you have done that, you can begin building and training your own neural networks.

In this introduction, we will cover the basics of deep learning, including how neural networks work, common activation functions, loss functions, and optimization algorithms. We will also walk you through building a simple neural network for a classification task using Python.

By the end of this post, you will have a solid understanding of the fundamentals of deep learning and be ready to take on more complex projects in the future. Stay tuned for more practical deep learning tutorials!
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