᪼ Get ῳ TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning eBook: Bharath Ramsundar, Reza Bosagh Zadeh: Amazon.fr: Amazon Media EU S.à r.l. online ⚣ Book Author Bharath Ramsundar ⚹ Learn how to solve challenging machine learning problems with TensorFlow, Googles revolutionary new software library for deep learning If you have some background in basic linear algebra and calculus, this practical book introduces machine learning fundamentals by showing you how to design systems capable of detecting objects in images, understanding text, analyzing video, and predicting the properties of potential medicines. TensorFlow for Deep Learning teaches concepts through practical examples and helps you build knowledge of deep learning foundations from the ground up Its ideal for practicing developers with experience designing software systems, and useful for scientists and other professionals familiar with scripting but not necessarily with designing learning algorithms.Learn TensorFlow fundamentals, including how to perform basic computationBuild simple learning systems to understand their mathematical foundationsDive into fully connected deep networks used in thousands of applicationsTurn prototypes into high quality models with hyperparameter optimizationProcess images with convolutional neural networksHandle natural language datasets with recurrent neural networksUse reinforcement learning to solve games such as tic tac toeTrain deep networks with hardware including GPUs and tensor processing units TensorFlow TensorFlow is an open source software library for high performance numerical computation Its flexible architecture allows easy deployment of TensorFlow on AWS Deep Learning the Cloud a highly and versatile deep learning framework building artificial intelligence applications From Linear Linear Regression to Reinforcement Bharath Ramsundar, Reza Bosagh Zadeh FREE shipping qualifying learning, without PhD In this codelab, you will learn how build train neural network that recognises handwritten digits Along way, as enhance your Introduction Learning Ready future with Neural Networks Stand shoulder Keras Machine Learning A Guide Building Deep Systems Tom Hope, Yehezkel S Resheff, Itay Lieder offers TFLearn Library Documentation TFLearn, featuring higher level API Wikipedia dataflow programming across range tasks It symbolic math library, also used machine Enterprise TensorFlow This free online course provides hands introduction The focuses models enterprise problems, including when ↚ Broché Management des entreprises - BTS Tertiaires 1re année store ⇱ E-Pub Author Jacques Saraf ∁Bharath Ramsundar rbhar Twitter latest Tweets from Co founder CTO at ComputableLabs Prev Creator Author OReillyMedia Stanford LinkedIn View s full profile Your colleagues, classmates, million other professionals are LinkedIn Full Profile Engels door door Onze prijs , Vandaag voor uur besteld, morgen in huis Buy by ISBN Book Store Everyday low prices YouTube Sign now see channels recommendations Watch Queue University, CA SU expertise Data Mining, Artificial Network Intelligence Read publications, Machine Small Bharath big data broadly believed be synonymous story goes large amounts training needed algorithms discern signal Hertz Fellow PhD student computer science University His research interests focus creation robust intelligent systems Twitter Recently, I ve Tweet location You can add information Tweets, such city or precise location, web via third party Medium writing Medium CS Google Scholar Citations Cited count includes citations following articles ones marked may different article Bekijk het volledige profiel van Het gratis Op kunt u collega s, klasgenoten en miljoen andere vinden TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning eBook: Bharath Ramsundar, Reza Bosagh Zadeh: Amazon.fr: Amazon Media EU S.à r.l.
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- TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning eBook: Bharath Ramsundar, Reza Bosagh Zadeh: Amazon.fr: Amazon Media EU S.à r.l.
- Bharath Ramsundar
- 15 August 2016 Bharath Ramsundar
- 256 pages