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Discover neural network architectures (like CNN and LSTM) that are driving recent advancements in AI. By the end of this book, you will have mastered the different neural network architectures and created cutting-edge AI projects in Python that will immediately strengthen your machine learning portfolio.
Item #:
12308435
Neural Network Projects with Python: The ultimate guide to using Python to explore the true power of neural networks through six projects
86% of respondents would recommend this to a friend
Item #:
12308435
NZD 104
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Discover neural network architectures (like CNN and LSTM) that are driving recent advancements in AI. By the end of this book, you will have mastered the different neural network architectures and created cutting-edge AI projects in Python that will immediately strengthen your machine learning portfolio.
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What Stands Out
Comprehensive Guide
This book offers an extensive resource for mastering neural networks, making complex concepts accessible through clear explanations and practical examples.
Hands-On Projects
Featuring six real-world projects, readers gain practical experience in applying neural network techniques, enhancing their understanding and skills.
Python Focused
Utilizing Python, a widely-used programming language, this guide ensures that learners can easily implement neural networks, catering to a broad range of developers and data enthusiasts.
Product Details
- Learn to utilize Python to explore the capabilities of neural networks through six projects
- Comprehensive guide for delving into the true potential of neural networks
- Each project offers hands-on experience in building and training neural networks
- Covers various applications such as image and text recognition, and more
- Ideal for those looking to gain practical skills in working with neural networks
- Written in a clear and approachable manner for both beginners and experienced Python users
| Publisher | Packt Publishing |
| Publication date | February 28, 2019 |
| Language | English |
| Print length | 308 pages |
| ISBN-10 | 1789138906 |
| ISBN-13 | 978-1789138900 |
| Item Weight | 7.4 ounces (209.79 grams) |
| Dimensions | 7.5 x 0.7 x 9.25 inches (19.1 x 1.8 x 23.5 cm) |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for those who want to build practical neural network skills using hands-on projects with Python.
-
Beginners in AI
A great resource for newcomers wanting to understand neural networks through clear, structured project guidance.
-
Python Developers
Beneficial for developers looking to expand their skill set into AI and machine learning with practical applications.
-
Advanced Practitioners
Not suitable for experts who already possess extensive knowledge and experience in neural networks and deep learning.
Product Description
Neural Network Projects with Python: The ultimate guide to using Python to explore the true power of neural networks through six projects
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Product Buying Guide
Neural Network Projects with Python is an ultimate guide for exploring the full potential of neural networks using Python. Whether you're a beginner or an experienced Python programmer, this comprehensive guide offers an insightful approach to mastering neural networks through six practical projects. This buying guide will help you understand the product in detail and make an informed purchase decision.
Product Specifications
- Author: James Loy
- Publisher: Packt Publishing
- Language: English
- Paperback: 302 pages
- ISBN-10: 1801079599
- ISBN-13: 978-1801079592
Key Features
- Comprehensive coverage of neural network concepts
- Step-by-step guidance through six practical Python projects
- Hands-on approach to understanding neural network functionalities
- Insightful explanations and code examples for easy implementation
- Suitable for both beginners and experienced Python programmers
Usage Scenarios
- Individuals interested in gaining a deep understanding of neural networks and their practical implementation using Python
- Students, researchers, and data science enthusiasts looking to enhance their knowledge and skills in neural network development
- Professionals seeking practical insights into implementing neural network projects for real-world applications
Usage Scenarios
- Hands-On Neural Networks: Learn neural networks through coding examples by Shishir Dubey
- Neural Networks and Deep Learning: A Textbook by Charu Aggarwal
Some User Review
- This book provided a great hands-on experience through the projects. The explanations were clear, and the code samples were really helpful for understanding neural networks.
- As a beginner in neural networks, this book was a perfect starting point. The practical projects helped me grasp the concepts easily.
Competitors
- The price of the book varies across different vendors. It is advisable to compare prices and consider bundled offers or promotions for potential cost savings.
Buying Considerations
- Consider your current knowledge of Python and neural networks to ensure the book aligns with your skill level and learning goals.
- Review the additional resources or support offered by the vendor, such as online tutorials or community forums, to supplement your learning experience.
Conclusion
Neural Network Projects with Python offers a practical and comprehensive guide to mastering neural networks through Python. With in-depth explanations and hands-on projects, this book is suitable for anyone looking to explore the true power of neural networks for various applications.
View LessNeural Network Projects with Python is an ultimate guide for exploring the full potential of neural networks using Python. Whether you're a beginner or an experienced Python programmer, this comprehensive guide offers an insightful approach to mastering neural networks through six practical projects. This buying guide will help you understand the product in detail and make an informed purchase decision. Continue Reading
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Intelligence & Semantics Editorial Review
The book provides a great introduction to machine learning concepts and neural networks, focusing on practical projects. The projects are clearly explained and fun to work on. However, some readers experienced issues with the code provided, and felt that the book could provide more detail in certain sections. Overall, it is recommended for beginners in the field of machine learning.
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Pros
- Clear and simple explanations
- Covers key topics in machine learning
- Introduces APIs and ML processes
- Provides detailed explanations and examples
- Walks through step-by-step of each project
Cons
- Code provided in the book has bugs
Product Price History
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NZD 104
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Features & Benefits
- Master the power of neural networks using Python
- Create 6 innovative AI projects using neural networks in Python
- Learn different neural network architectures driving recent advances in AI
- Gain hands-on experience with popular Python libraries such as Keras
- Projects include object detection, face identification and sentiment analysis
- Ideal for data scientists, machine learning engineers and deep learning enthusiasts
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