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TensorFlow Machine Learning Projects: Build 13 real-world projects with advanced numerical computations using the Python ecosystem - Softcover
Synopsis
"TensorFlow has transformed the way machine learning is perceived. TensorFlow Machine Learning Projects teaches you how to exploit the benefits--simplicity, efficiency, and flexibility--of using TensorFlow in various real-world projects. With the help of this book, you'll not only learn how to build advance projects using different datasets but also be able to tackle common challenges using a range of libraries from the TensorFlow ecosystem."--Publisher's description.
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About the Author
Ankit is a Senior Data Scientist at Uber AI Labs where his primary focus on using cutting-edge AI/ML methods to solve problems in forecasting and self-driving cars. He has also worked in a variety of data science roles at Runnr, Facebook, and BofA. While at Facebook, he contributed to popular products like "Pages You May Like" and FB Games. Ankit has a keen interest in teaching data science and has mentored over 500 students in data science. He holds a Masters from UC Berkeley and Bachelors from IIT Bombay.
"About this title" may belong to another edition of this title.
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TensorFlow Machine Learning Projects (Paperback or Softback)
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Packt Publishing 11/30/2018, 2018
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Paperback. Condition: New. Implement TensorFlow's offerings such as TensorBoard, TensorFlow.js, TensorFlow Probability, and TensorFlow Lite to build smart automation projectsKey FeaturesUse machine learning and deep learning principles to build real-world projectsGet to grips with TensorFlow's impressive range of module offeringsImplement projects on GANs, reinforcement learning, and capsule networkBook DescriptionTensorFlow has transformed the way machine learning is perceived. TensorFlow Machine Learning Projects teaches you how to exploit the benefits-simplicity, efficiency, and flexibility-of using TensorFlow in various real-world projects. With the help of this book, you'll not only learn how to build advanced projects using different datasets but also be able to tackle common challenges using a range of libraries from the TensorFlow ecosystem.To start with, you'll get to grips with using TensorFlow for machine learning projects; you'll explore a wide range of projects using TensorForest and TensorBoard for detecting exoplanets, TensorFlow.js for sentiment analysis, and TensorFlow Lite for digit classification.As you make your way through the book, you'll build projects in various real-world domains, incorporating natural language processing (NLP), the Gaussian process, autoencoders, recommender systems, and Bayesian neural networks, along with trending areas such as Generative Adversarial Networks (GANs), capsule networks, and reinforcement learning. You'll learn how to use the TensorFlow on Spark API and GPU-accelerated computing with TensorFlow to detect objects, followed by how to train and develop a recurrent neural network (RNN) model to generate book scripts.By the end of this book, you'll have gained the required expertise to build full-fledged machine learning projects at work.What you will learnUnderstand the TensorFlow ecosystem using various datasets and techniquesCreate recommendation systems for quality product recommendationsBuild projects using CNNs, NLP, and Bayesian neural networksPlay Pac-Man using deep reinforcement learningDeploy scalable TensorFlow-based machine learning systemsGenerate your own book script using RNNsWho this book is forTensorFlow Machine Learning Projects is for you if you are a data analyst, data scientist, machine learning professional, or deep learning enthusiast with basic knowledge of TensorFlow. This book is also for you if you want to build end-to-end projects in the machine learning domain using supervised, unsupervised, and reinforcement learning techniques. Seller Inventory # LU-9781789132212
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