Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch

Price: $60.93
(as of Dec 26,2024 21:08:47 UTC – Details)

ASIN ‏ : ‎ B09248P6TF
Publisher ‏ : ‎ Apress; 2nd edition (April 9, 2021)
Publication date ‏ : ‎ April 9, 2021
Language ‏ : ‎ English
File size ‏ : ‎ 8990 KB
Text-to-Speech ‏ : ‎ Enabled
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 338 pages

Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch

In this post, we will explore the world of deep learning with Python using PyTorch, a popular open-source machine learning library. PyTorch provides a flexible and easy-to-use platform for building deep learning models, making it a great tool for beginners and experts alike.

We will cover some best practices for building and training deep learning models with PyTorch, including data preprocessing, model architecture design, loss function selection, and optimization techniques. We will also dive into advanced topics such as transfer learning, hyperparameter tuning, and model evaluation.

By the end of this post, you will have a solid understanding of how to leverage PyTorch to build powerful deep learning models and achieve state-of-the-art results in various domains. So, let’s get started on our journey to mastering deep learning with Python and PyTorch!
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