Deep Learning With Python: A Fundamentals Guide To Understanding Machine Learning and Artificial Intelligence With Scikit-Learn, TensorFlow, and KerasКНИГИ » ПРОГРАММИНГ
Название: Deep Learning With Python: A Fundamentals Guide To Understanding Machine Learning and Artificial Intelligence With Scikit-Learn, TensorFlow, and Keras Автор: Sebastian Dark Издательство: Amazon Digital Services LLC ASIN: B07K2Q6DXH Год: 2018 Страниц: 108 Язык: английский Формат: epub, rtf, pdf (conv) Размер: 11.97 MB
Deep learning is a process that widens the range of most artificial intelligence problems like speech recognition, image classification, question answering, optical character recognition, and transforming text to speech. It is true that deep learning is a complex subject to learn and understand, but it is not difficult for most machine learning algorithms. If you want to learn how to build a deep learning model in Python, you have come to the right place.
Over the course of this book, you will gather information on what deep learning is and how it ties in to machine learning and artificial intelligence. You will also learn about the different neural network architectures that designers use to program a deep learning model. The book provides information on how you can build a deep learning model in Python using Keras. The examples in this book use datasets that are available online. You can download the data from the links mentioned in the book and use these datasets to test your model. By the time you reach the end of the book, you will have built a solid foundation of building models. You will also learn to build deep learning models for your projects.
In this Guide, you will discover...
What Machine Learning and Deep Learning Is And How You Can Use It To Change The World How The Field Can Be Broken Down And Learned In A Manageable Way Various Applications and Potential of Deep Learning That You Can Utilize - That You May Never Have Even Imagined Supervised And Unsupervised Learning - And Breaking It Down Step By Step How You Can Create And Train Deep Learning Models Where and How To Install the Best Programs So You Can Get Started Today Sample Codes And Datasets To Practice Along With And much more!
Introduction Chapter One: What is Machine Learning? Chapter Two: An Introduction to Neural Networks Chapter Three: An Introduction to Deep Learning Chapter Four: Supervised Learning Chapter Five: Unsupervised Learning Chapter Six: How to Create and Train Deep Learning Models Chapter Seven: Applications of Deep Learning Chapter Eight: An Introduction to Python Chapter Nine: Python Environment for Deep Learning Chapter Ten: How to Develop a Neural Network in Python using Keras Chapter Eleven: How to Evaluate the Performance of a Deep Learning Model Chapter Twelve: How to Save and Load Deep Learning Models Chapter Thirteen: Reducing Dropouts in Deep Learning Models Conclusion Sources
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