Deep Learning with TensorFlow: Explore neural networks with Python

Deep Learning with TensorFlow: Explore neural networks with Python

<p><b>Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive TensorFlow guide</b></p><h2>About This Book</h2><ul><li>Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow</li><li>Explore deep neural networks and layers of data abstraction with the help of this comprehensive guide</li><li>Real-world contextualization through some deep learning problems concerning research and application </li></ul><h2>Who This Book Is For</h2><p>The book is intended for a general audience of people interested in machine learning and machine intelligence. A rudimentary level of programming in one language is assumed, as is a basic familiarity with computer science techniques and technologies, including a basic awareness of computer hardware and algorithms. Some competence in mathematics is needed to the level of elementary linear algebra and calculus.</p><h2>What You Will Learn</h2><ul><li>Learn about machine learning landscapes along with the historical development and progress of deep learning</li><li>Learn about deep machine intelligence and GPU computing with the latest TensorFlow 1.x</li><li>Access public datasets and utilize them using TensorFlow to load, process, and transform data</li><li>Use TensorFlow on real-world datasets, including images, text, and more</li><li>Learn how to evaluate the performance of your deep learning models</li><li>Using deep learning for scalable object detection and mobile computing</li><li>Train machines quickly to learn from data by exploring reinforcement learning techniques</li><li>Explore active areas of deep learning research and applications</li