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64176255
Practical Deep Learning: A Python-Based Introduction, Paperback
82% of respondents would recommend this to a friend
Item #:
64176255
BHD 23
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Practical Deep Learning teaches total beginners how to build datasets and train neural networks for DL projects. This is the book you've been waiting for if you've been curious about machine learning.
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What Stands Out
Hands-On Approach
Offers a practical, hands-on learning experience, enabling readers to apply deep learning concepts using Python, making it ideal for beginners seeking applicable skills.
Comprehensive Coverage
Covers a wide array of topics in deep learning, from basics to advanced techniques, ensuring that readers gain a thorough understanding of the field.
Accessible Format
Written in an easy-to-understand language, this book is designed for learners at all levels, making complex concepts more accessible to a broader audience.
Product Details
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Pub date | 2020-11-24 |
| Pages | 464 |
| Reading level | General |
| Subgenre | Data Science |
| Series title | No Series |
| Edition | 1 |
| Publisher | No Starch Press |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Educational level | High School |
| Is collectible | N |
| Illustrator | Kevin Howdeshell |
| Binding type | Perfect Binding |
| Retail packaging | Single Piece |
| Assembled product height | 9.2 in (23.4 cm) |
| Assembled product weight | 1.94 lb (880 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Beginners in AI
Perfect for those new to artificial intelligence and deep learning concepts, providing clear explanations and practical examples.
-
Python Programmers
Ideal for existing Python developers wanting to enhance their skills in deep learning applications using familiar programming language.
-
Data Scientists
Beneficial for data scientists looking to incorporate deep learning techniques into their data analysis and machine learning workflows.
-
Advanced Users
Not ideal for experienced deep learning practitioners seeking advanced theories or cutting-edge techniques beyond basic frameworks.
Product Description
Practical Deep Learning: A Python-Based Introduction, Paperback
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Pros
- Easy to understand concepts
- Practical examples and exercises
- Comprehensive coverage of topics
- Great for beginners and experts
- Well-structured and sequenced
Cons
- Some topics could use more depth.
Product Price History
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Features & Benefits
- Teaches beginners to build datasets for neural networks
- Focuses on deep learning subfield of machine learning
- Explains core concepts and foundations
- Inspires exploration of deep learning
- Covers Python, scikit-learn, Keras libraries
- Includes building models from scratch and a final case study
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