{"product_id":"tensorflow-2-pocket-reference-building-and-deploying-machine-learning-models-paperback","title":"Tensorflow 2 Pocket Reference: Building and Deploying Machine Learning Models - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eKc Tung\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow itself. \u003c\/p\u003e\u003cp\u003e When and why would you feed training data as using NumPy or a streaming dataset? How would you set up cross-validations in the training process? How do you leverage a pretrained model using transfer learning? How do you perform hyperparameter tuning? Pick up this pocket reference and reduce the time you spend searching through options for your TensorFlow use cases. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eUnderstand best practices in TensorFlow model patterns and ML workflows \u003c\/li\u003e\n\u003cli\u003eUse code snippets as templates in building TensorFlow models and workflows \u003c\/li\u003e\n\u003cli\u003eSave development time by integrating prebuilt models in TensorFlow Hub \u003c\/li\u003e\n\u003cli\u003eMake informed design choices about data ingestion, training paradigms, model saving, and inferencing \u003c\/li\u003e\n\u003cli\u003eAddress common scenarios such as model design style, data ingestion workflow, model training, and tuning \u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eKC Tung is a cloud solution architect in Microsoft who specializes in designing and delivering machine learning and AI solutions in enterprise cloud architecture. He helps enterprise customers with use-case driven architecture, AI\/ML model development\/deployment in the cloud, and technology selection and integration best suited for their requirements. He is a Microsoft certified AI engineer and data engineer. He has a PhD in molecular biophysics from the University of Texas Southwestern Medical, and has spoken at the 2018 O'Reilly AI Conference in San Francisco and the 2019 O'Reilly Tensorflow World Conference in San Jose.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 253\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.54 x 7 x 4.25 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 24, 2021\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47212865585401,"sku":"9781492089186","price":29.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/Tzk5UWtENStoTU5CeklaR1dJaDJwdz09.webp?v=1768098750","url":"https:\/\/bookscloud.io\/products\/tensorflow-2-pocket-reference-building-and-deploying-machine-learning-models-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}