Description
| Product ID: | 9781718500747 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | US |
| Title: | Practical Deep Learning |
| Subtitle: | A Python-Based Introduction |
| Authors: | Author: Ron Kneusel |
| Page Count: | 464 |
| Subjects: | Computer programming / software engineering, Computer programming / software development |
| Description: | Select Guide Rating A book for people with no experience with machine learning and who are looking for an intuition-based, hands-on introduction 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. |
| Imprint Name: | No Starch Press,US |
| Publisher Name: | No Starch Press,US |
| Country of Publication: | GB |
| Publishing Date: | 2021-02-23 |
