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- Deep Learning for Beginners: A beginner's gui...
Deep Learning for Beginners: A beginner's guide to getting up and running with deep learning from scratch using Python
86% of respondents would recommend this to a friend
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제품 세부 정보
| Publisher | Packt Publishing (September 18, 2020) |
| Language | English |
| Paperback | 432 pages |
| ISBN-10 | 1838640851 |
| ISBN-13 | 978-1838640859 |
| Item Weight | 1.65 pounds (750 grams) |
| Dimensions | 9.25 x 7.52 x 0.9 inches (23.5 x 19.1 x 2.3 cm) |
Who Should Buy?
-
Aspirational Data Scientists
Individuals aiming to start a career in data science will find foundational knowledge and practical skills in this guide.
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Python Beginners
Those new to programming will appreciate the practical examples outlined in Python, making concepts easier to grasp.
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Self-learners
Individuals who prefer self-study can navigate through the structured content at their own pace to build deep learning skills.
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Advanced Practitioners
Experienced deep learning professionals may find the content too basic and lacking in advanced topics and methodologies.
제품 설명
Deep Learning for Beginners: A beginner's guide to getting up and running with deep learning from scratch using Python
고객 질문 및 답변
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의문:
Ubuy에서 온라인으로 Deep Learning for Beginners: A beginner's guide to 쇼핑하는 방법?
답변: Ubuy에서 온라인으로 Deep Learning for Beginners: A beginner's guide to을(를) 쉽게 쇼핑할 수 있습니다.. 제품을 검색하고 체크아웃하는 동안 배송 방법을 선택하고 해당 위치로 배송받기만 하면 됩니다. -
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Deep Learning for Beginners: A beginner's guide to는 South Korea에서 온라인 쇼핑이 가능합니까?
답변: 예, Ubuy South Korea에서 이 제품을 합리적인 가격에 구매할 수 있습니다.. Deep Learning for Beginners: A beginner's guide to은(는) 현지에서 구할 수 없지만 특급 배송 서비스로 저희를 신뢰할 수 있습니다. -
의문:
주문 후 제품을 받는 데 얼마나 걸립니까?
답변: 주문한 제품의 배송 시간은 주문한 항목과 선택한 배송 방법에 따라 다릅니다.. 예상 배송 시간은 결제 과정에서 언급되므로 안심하고 쇼핑하십시오.
Intelligence & Semantics Editorial Review
In the realm of deep learning literature, "Deep Learning for Beginners" by Dr. Pablo Rivas is earning commendations as a comprehensive introduction tailored for aspiring practitioners in the field. Readers laud the book's clear, structured approach that seamlessly transitions from foundational machine learning concepts to advanced deep learning techniques. Dr. Rivas successfully demystifies complex topics such as TensorFlow setup, data preparation, and model training through step-by-step instructions and practical code examples. The use of Google Colab for hands-on experiments is particularly appreciated, as it democratizes access to machine learning tools, allowing readers to experiment without the need for extensive local setup. The book covers a wide range of topics indispensable for anyone looking to venture into deep learning, including supervised and unsupervised learning models, training techniques, various neural network architectures like convolutional and recurrent networks, and even sophisticated concepts such as variational autoencoders and generative adversarial networks. This breadth ensures that readers not only acquire necessary theoretical knowledge but also practical insights into implementation. Additionally, the author’s commitment to social responsibility—donating proceeds to Latinx in AI—adds a commendable layer of purpose to the work, resonating with readers who value community engagement in tech. Overall, "Deep Learning for Beginners" is warmly received as a vital resource for new learners. It is recommended for anyone looking to grasp the essentials of deep learning in an organized and engaging manner. **
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장점
- Clear and structured approach to complex topics
- Step-by-step guided instructions with practical examples
- Covers a wide range of fundamental and advanced concepts in deep learning
- Hands-on examples using Google Colab for practical experience
- Commitment to social responsibility through donations to Latinx in AI
단점
- Limited mention of advanced techniques for experienced users
중요 정보
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