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Tensorflow Deep Learning Projects: 10 Real-World Projects on Computer Vision, Machine Translation, Chatbots, and Reinforcement Learning (en Inglés)
Luca Massaron; Alberto Boschetti; Alexey Grigorev; Abhishek Thakur; Rajalingappaa Shanmugamani (Autor)
·
Packt Publishing
· Tapa Blanda
Tensorflow Deep Learning Projects: 10 Real-World Projects on Computer Vision, Machine Translation, Chatbots, and Reinforcement Learning (en Inglés) - Luca Massaron; Alberto Boschetti; Alexey Grigorev; Abhishek Thakur; Rajalingappaa Shanmugamani
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Reseña del libro "Tensorflow Deep Learning Projects: 10 Real-World Projects on Computer Vision, Machine Translation, Chatbots, and Reinforcement Learning (en Inglés)"
Leverage the power of Tensorflow to design deep learning systems for a variety of real-world scenariosKey FeaturesBuild efficient deep learning pipelines using the popular Tensorflow frameworkTrain neural networks such as ConvNets, generative models, and LSTMsIncludes projects related to Computer Vision, stock prediction, chatbots and moreBook DescriptionTensorFlow is one of the most popular frameworks used for machine learning and, more recently, deep learning. It provides a fast and efficient framework for training different kinds of deep learning models, with very high accuracy. This book is your guide to master deep learning with TensorFlow with the help of 10 real-world projects.TensorFlow Deep Learning Projects starts with setting up the right TensorFlow environment for deep learning. Learn to train different types of deep learning models using TensorFlow, including Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, and Generative Adversarial Networks. While doing so, you will build end-to-end deep learning solutions to tackle different real-world problems in image processing, recommendation systems, stock prediction, and building chatbots, to name a few. You will also develop systems that perform machine translation, and use reinforcement learning techniques to play games.By the end of this book, you will have mastered all the concepts of deep learning and their implementation with TensorFlow, and will be able to build and train your own deep learning models with TensorFlow confidently.What you will learnSet up the TensorFlow environment for deep learningConstruct your own ConvNets for effective image processingUse LSTMs for image caption generationForecast stock prediction accurately with an LSTM architectureLearn what semantic matching is by detecting duplicate Quora questionsSet up an AWS instance with TensorFlow to train GANsTrain and set up a chatbot to understand and interpret human inputBuild an AI capable of playing a video game by itself –and win it!Who This Book Is ForThis book is for data scientists, machine learning developers as well as deep learning practitioners, who want to build interesting deep learning projects that leverage the power of Tensorflow. Some understanding of machine learning and deep learning, and familiarity with the TensorFlow framework is all you need to get started with this book.Table of ContentsRecognizing traffic signs using ConvnetsAnnotating Images with Object Detection APICaption generation for imagesBuilding GANs for Conditional Image CreationStock Price Prediction with LSTM Create & Train Machine Translation SystemsTrain and set up a Chatbot, able to discuss like a humanDetecting Duplicate Quora QuestionsBuilding a TensorFlow Recommender Systems Video Games by Reinforcement learning
