Python Deep learning: Develop your first Neural Network in Python Using TensorFlow, Keras, and PyTorch, Paperback/Samuel Burns

Python Deep learning: Develop your first Neural Network in Python Using TensorFlow, Keras, and PyTorch, Paperback/Samuel Burns

Autor
An publicare
2019
Nr. Pagini
172
ISBN
9781092562225

Descriere

Description Build your Own Neural Network today. Through easy-to-follow instruction and examples, you'll learn the fundamentals of Deep learning and build your very own Neural Network in Python using Tensor Flow, Keras, Py Torch, and Theano. While you have the option of spending thousands of dollars on big and boring textbooks, we recommend getting the same pieces of information for a fraction of the cost. So Get Your Copy Now Why this book?Book Objectives The following are the objectives of this book: To help you understand deep learning in detail To help you know how to get started with deep learning in Python by setting up the coding environment. To help you transition from a deep learning Beginner to a Professional. To help you learn how to develop a complete and functional artificial neural network model in Python on your own. Who this Book is for? The author targets the following groups of people: Anybody who is a complete beginner to deep learning with Python. Anybody in need of advancing their Python for deep learning skills. Professors, lecturers or tutors who are looking to find better ways to explain Deep Learning to their students in the simplest and easiest way. Students and academicians, especially those focusing on python programming, neural networks, machine learning, and deep learning. What do you need for this Book? You are required to have installed the following on your computer: Python 3. X.Tensor Flow .Keras .Py Torch The Author guides you on how to install the rest of the Python libraries that are required for deep learning. The author will guide you on how to install and configure the rest. What is inside the book? What is Deep Learning? An Overview of Artificial Neural Networks. Exploring the Libraries. Installation and Setup. Tensor Flow Basics. Deep Learning with Tensor Flow. Keras Basics. Py Torch Basics. Creating Convolutional Neural Networks with Py Torch. Creating Recurrent Neural Networks with Py Torch. From the back cover. Deep learning is part of machi

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