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Neural networks are one of the most fascinating machine learning models for solving complex computational problems efficiently. Neural networks are used to solve wide range of problems in different areas of AI and machine learning.
This book explains the niche aspects of neural networking and provides you with foundation to get started with advanced topics. The book begins with neural network design using the neural net package, then you'll build a solid foundation knowledge of how a neural network learns from data, and the principles behind it. This book covers various types of neural network including recurrent neural networks and convoluted neural networks. You will not only learn how to train neural networks, but will also explore generalization of these networks. Later we will delve into combining different neural network models and work with the real-world use cases.
Some of the highlights of this book include:
- Basic concepts of writing efficient and effective Python codes
- Learn everything you need to know of the most popular machine learning library called "TensorFlow."
- Deep dive into the concept of personalized marketing, predictive analytics, customer analytics and exploratory data analysis
Remember knowledge is power, and with the great power you will gather from this book, you will be armed to make sound personal and professional technological choices. Your understanding of Python, Artificial Intelligence and machine learning will improve drastically, and you will be poised to develop your very own machine-learning model.
Even if you have never studied Python language before, you can learn it quickly.
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