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TensorFlow on your computer Learn the fundamentals of statistical regression and neural networks Visualize the machine learning process with;
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scientist who performs machine learning on a regular basis, are familiar with deep neural networks, and now want to gain expertise in working with;
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TensorFlow 2 and Keras. The materials used in this book are based on years of successful online education experience and feedback from thousands;
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. Hands-On Computer Vision with TensorFlow 2 starts with the fundamentals of computer vision and deep learning, teaching you how to build a neural;
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Generate high-resolution photos with Progressive GAN and StyleGAN Who this book is forThe Hands-On Image Generation with TensorFlow book is for;
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Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.x About This Book * Skill up;
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Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devices Key;
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generative adversarial networks with examples using the TensorFlow Python library. It also serves as a quick hands-on guide to TensorFlow programming;
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techniques such as training neural networks Get acquainted with some new practices introduced in TensorFlow 2.0 Alpha Book DescriptionTensorFlow;
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Linear Regression techniques with TensorFlow * Learn SVMs with hands-on recipes * Implement neural networks and improve predictions * Apply;
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learning, machine learning, and artificial intelligence and helps you get comfortable with the TensorFlow 2.0 programming structure using hands-on;
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of use for developers. This book covers machine learning with a focus on developing neural network-based solutions. You'll start by getting;
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-on experience with linear regression techniques with TensorFlow. Once you are familiar and comfortable with the TensorFlow ecosystem, you;
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problems with sequential models. Building on this solid foundation, you'll learn how to tune models and work with different types of neural;
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develop a working knowledge of not only TensorFlow, but also related technologies such as Python and Keras. You'll also work with Neural Networks;
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hands-on approach to TensorFlow fundamentals for a broad technical audience-from data scientists and engineers to students and researchers. The;
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Learn how to apply TensorFlow to a wide range of deep learning and Machine Learning problems with this practical guide on training CNNs for;
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further experimentation. With Artificial Neural Networks with TensorFlow 2 you'll see just how wide the range of TensorFlow's capabilities are;
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fast, efficient, and accurate deep learning tasks. Hands-On Deep Learning for Images with TensorFlow shows you the practical implementations;
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learning with Apache Spark Train neural networks with deep learning libraries such as BigDL and TensorFlow Develop Spark deep learning applications;
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TensorFlow Cookbook will teach you how to perform complex data computations and gain valuable insights into your data. Dive into recipes on training;
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integrate with TensorFlow. js to create intelligent web apps. The most common and accessible platform users interact with everyday is their web;
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TensorFlow 2.x and the Google Colab cloud service. You will learn how to provision a workspace on Google Colab and build a simple neural network;
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Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras. This new edition focuses on the;
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Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras. This new edition focuses on the;
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of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what;
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of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what;
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