{ "item_title" : "Tensorflow in Action", "item_author" : [" Thushan Ganegedara "], "item_description" : "Unlock the TensorFlow design secrets behind successful deep learning applications Deep learning StackOverflow contributor Thushan Ganegedara teaches you the new features of TensorFlow 2 in this hands-on guide. In TensorFlow in Action you will learn: Fundamentals of TensorFlowImplementing deep learning networksPicking a high-level Keras API for model building with confidenceWriting comprehensive end-to-end data pipelinesBuilding models for computer vision and natural language processingUtilizing pretrained NLP modelsRecent algorithms including transformers, attention models, and ElMo In TensorFlow in Action, you'll dig into the newest version of Google's amazing TensorFlow framework as you learn to create incredible deep learning applications. Author Thushan Ganegedara uses quirky stories, practical examples, and behind-the-scenes explanations to demystify concepts otherwise trapped in dense academic papers. As you dive into modern deep learning techniques like transformer and attention models, you'll benefit from the unique insights of a top StackOverflow contributor for deep learning and NLP. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technologyGoogle's TensorFlow framework sits at the heart of modern deep learning. Boasting practical features like multi-GPU support, network data visualization, and easy production pipelines using TensorFlow Extended (TFX), TensorFlow provides the most efficient path to professional AI applications. And the Keras library, fully integrated into TensorFlow 2, makes it a snap to build and train even complex models for vision, language, and more. About the bookTensorFlow in Action teaches you to construct, train, and deploy deep learning models using TensorFlow 2. In this practical tutorial, you'll build reusable skill hands-on as you create production-ready applications such as a French-to-English translator and a neural network that can write fiction. You'll appreciate the in-depth explanations that go from DL basics to advanced applications in NLP, image processing, and MLOps, complete with important details that you'll return to reference over and over. What's inside Covers TensorFlow 2.9Recent algorithms including transformers, attention models, and ElMoBuild on pretrained modelsWriting end-to-end data pipelines with TFX About the readerFor Python programmers with basic deep learning skills. About the authorThushan Ganegedara is a senior ML engineer at Canva and TensorFlow expert. He holds a PhD in machine learning from the University of Sydney. Table of ContentsPART 1 FOUNDATIONS OF TENSORFLOW 2 AND DEEP LEARNING1 The amazing world of TensorFlow2 TensorFlow 23 Keras and data retrieval in TensorFlow 24 Dipping toes in deep learning5 State-of-the-art in deep learning: TransformersPART 2 LOOK MA, NO HANDS DEEP NETWORKS IN THE REAL WORLD6 Teaching machines to see: Image classification with CNNs7 Teaching machines to see better: Improving CNNs and making them confess8 Telling things apart: Image segmentation9 Natural language processing with TensorFlow: Sentiment analysis10 Natural language processing with TensorFlow: Language modelingPART 3 ADVANCED DEEP NETWORKS FOR COMPLEX PROBLEMS11 Sequence-to-sequence learning: Part 112 Sequence-to-sequence learning: Part 213 Transformers14 TensorBoard: Big brother of TensorFlow15 TFX: MLOps and deploying models with TensorFlow", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/61/729/834/1617298344_b.jpg", "price_data" : { "retail_price" : "69.99", "online_price" : "69.99", "our_price" : "69.99", "club_price" : "69.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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