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- Practical Deep Learning: A Python-Based Intro...
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25664725
Practical Deep Learning: A Python-Based Introduction
89% of respondents would recommend this to a friend
Item #:
25664725
MYR 307
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Pesan sekarang dan dapatkannya lebih kurang pada Sabtu, Oktober 17
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Practical Deep Learning teaches total beginners how to build the datasets and models needed to train neural networks for your own DL projects
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What Stands Out
Hands-On Learning
Engages learners through practical exercises, allowing users to apply deep learning concepts directly in Python, enhancing retention and understanding for aspiring data scientists.
Accessible Content
Designed for beginners, the book simplifies complex topics, making deep learning approachable without compromising on technical depth, perfect for those new to the field.
Real-World Applications
Focuses on practical use cases in industry, equipping readers with skills to solve actual problems in data-driven environments, increasing their job readiness and relevance.
Maklumat produk
- Teaches beginners how to build datasets and models for training neural networks
- Focuses on the subfield of machine learning known as deep learning
- Explains core concepts and provides a foundation to start building models
- Requires basic familiarity with computer programming and high school math
- Covers topics such as building a good training dataset and using libraries like scikit-learn and Keras
- Includes how to use classic machine learning models, neural networks, and convolutional neural networks
| Publisher | No Starch Press |
| Publication date | February 23, 2021 |
| Language | English |
| Print length | 464 pages |
| ISBN-10 | 1718500742 |
| ISBN-13 | 978-1718500747 |
| Item Weight | 1.71 pounds (780 grams) |
| Dimensions | 7.13 x 0.94 x 9.25 inches (18.1 x 2.4 x 23.5 cm) |
Who Should Buy?
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Beginners in AI
Ideal for those new to artificial intelligence, offering a hands-on approach to deep learning concepts with Python.
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Data Science Students
Perfect for students looking to build a strong foundational understanding of deep learning techniques using practical examples.
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Professionals Upskilling
Great for professionals seeking to enhance their data science skills by learning deep learning with practical Python applications.
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Experienced Practitioners
May not offer sufficient depth or challenge for seasoned professionals already well-versed in deep learning methods.
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Practical Deep Learning: A Python-Based Introduction
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Neural Networks Editorial Review
The book "Deep Learning with Python" by Francois Chollet is a practical guidebook for those who want to run sophisticated analysis without a complex theoretical background. The style of the book is semi-conversational and anecdotal, making it easy to be read and understood for those who do not have much experience with deep learning. The author also provides code examples that produce graphical output and simple statistics to help readers develop intuition to compare different methods.
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Ulas Produk Ini
Kongsikan pandangan anda dengan pelanggan lain
Kebaikan
- The book provides practical and useful information for deep learning beginners.
- The conversational tone and anecdotal style make it easy to read and understand.
- The author provides code examples with graphical output and simple statistics to help readers understand what they are doing.
- It's a good resource for those who need proper learning and reading on the topic.
Keburukan
- One reviewer pointed out that the author didn't take any of the applications from beginning to end, which doesn't help readers a lot. Note: There were a few reviews; only those that provided relevant information were used in creating the review.
Product Price History
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MYR 307
Pesan sekarang dan dapatkannya lebih kurang pada Sabtu, Oktober 17
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Ciri & Faedah
- Explains core concepts of deep learning
- Learn to build a good training dataset
- Develop a successful deep learning model from scratch
- Conduct experiments along the way
- Perfect introduction for beginners
- Gain skills and confidence to start your own machine learning projects
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