TensorFlow 1.x Deep Learning Cookbook: Over 90 unique recipes to solve artificial-intelligence driven problems with Python

ಫ Google drive pdf ᙄ TensorFlow 1.x Deep Learning Cookbook: Over 90 unique recipes to solve artificial-intelligence driven problems with Python  ೄ Book Author Antonio Gulli ೬ ಫ Google drive pdf ᙄ TensorFlow 1.x Deep Learning Cookbook: Over 90 unique recipes to solve artificial-intelligence driven problems with Python ೄ Book Author Antonio Gulli ೬ Take the next step in implementing various common and not so common neural networks with Tensorflow 1.xKey FeaturesSkill up and implement tricky neural networks using Google s TensorFlow 1.xAn easy to follow guide that lets you explore reinforcement learning, GANs, autoencoders, multilayer perceptrons and .Hands on recipes to work with Tensorflow on desktop, mobile, and cloud environmentBook DescriptionDeep neural networks DNNs have achieved a lot of success in the field of computer vision, speech recognition, and natural language processing The entire world is filled with excitement about how deep networks are revolutionizing artificial intelligence This exciting recipe based guide will take you from the realm of DNN theory to implementing them practically to solve the real life problems in artificial intelligence domain.In this book, you will learn how to efficiently use TensorFlow, Google s open source framework for deep learning You will implement different deep learning networks such as Convolutional Neural Networks CNNs , Recurrent Neural Networks RNNs , Deep Q learning Networks DQNs , and Generative Adversarial Networks GANs with easy to follow independent recipes You will learn how to make Keras as backend with TensorFlow.With a problem solution approach, you will understand how to implement different deep neural architectures to carry out complex tasks at work You will learn the performance of different DNNs on some popularly used data sets such as MNIST, CIFAR 10, Youtube8m, and You will not only learn about the different mobile and embedded platforms supported by TensorFlow but also how to set up cloud platforms for deep learning applications Get a sneak peek of TPU architecture and how they will affect DNN future.By using crisp, no nonsense recipes, you will become an expert in implementing deep learning techniques in growing real world applications and research areas such as reinforcement learning, GANs, autoencoders and .What you will learnInstall TensorFlow and use it for CPU and GPU operationsImplement DNNs and apply them to solve different AI driven problems.Leverage different data sets such as MNIST, CIFAR 10, and Youtube8m with TensorFlow and learn how to access and use them in your code.Use TensorBoard to understand neural network architectures, optimize the learning process, and peek inside the neural network black box.Use different regression techniques for prediction and classification problemsBuild single and multilayer perceptrons in TensorFlowImplement CNN and RNN in TensorFlow, and use it to solve real world use cases.Learn how restricted Boltzmann Machines can be used to recommend movies.Understand the implementation of Autoencoders and deep belief networks, and use them for emotion detection.Master the different reinforcement learning methods to implement game playing agents.GANs and their implementation using TensorFlow.Table of ContentsInitial steps in Tensorflow 1.xRegressionNeural Networks PerceptronsConvolutional Neural NetworkCNN in ActionRecurrent Neural NetworksUnsupervised LearningAutoencodersReinforcement LearningTensorflow MobileGenerative Adverasial NetworksDeep Learning on CloudAppendixAppendix B Learning to Learn with AutoML or what is Meta LearningAntonio Gulli is a software executive and business leader with a passion for establishing and managing global technological talent, innovation, and execution He is an expert in search engines, online services, machine learning, information retrieval, analytics, and cloud computing So far, he has been lucky enough to gain professional experience in four different countries in Europe and managed people in six different countries in Europe and America Antonio served as CEO, GM, CTO, VP, director, and site lead in multiple fields spanning from publishing Elsevier to consumer internet Ask and Tiscali and high tech R D Microsoft and Google.Amita Kapoor, is Associate Professor in the Department of Electronics, SRCASW, University of Delhi She has been actively teaching neural networks for last twenty years She did her Masters in Electronics in the year 1996, and her PhD in the year 2011 During the course of her PhD she was awarded prestigious DAAD fellowship to pursue a part of her research work in Karlsruhe Institute of Technology, Karlsruhe, Germany She had been awarded best Presentation Award at International conference Photonics 2008 for her paper She is a member of professional bodies like OSA Optical society of America , IEEE Institute of Electrical and Electronics Engineers , INNS International Neural Network Society , ISBS Indian society for Buddhist Studies She has than 40 publications in the international journals and conferences Her present research areas include Machine Learning, Artificial Intelligence, Neural Networks, Photonics and Robotics. Pro Deep Learning with TensorFlow Pro A Mathematical Approach to Advanced Artificial Intelligence in Python Santanu Pattanayak on FREE shipping TensorFlow Diving Into With Stacked Autoencoders Dive into TensorFlow, Google s open source numerical graph based computation library, and use it create a stacked autoencoder basic deep learning neural net Keras TensorFlow Tutorials AI Chainer Chainer x,y as simplified interface tutorial If is your primary framework, you are looking for simple high level model definition make life easier, this tutorial A noob guide implementing RNN LSTM The purpose of help anybody write their first LSTM without much background Neural Networks or Machine TensorFlow Autoencoder Qiita API ConvolutionD MaxPoolingD tf Tensor Welcome Theano documentation Deep Welcome library that allows define, optimize, evaluate mathematical expressions involving multi dimensional arrays efficiently GPUVivaldi Edition Vol Op including L Estro Felix Ayo, Pina Carmirelli, Roberto Michelucci, Salvatore Accardo, Bruno Canino, Rohan de Saram, Franco Gulli, Sylvie Gazeau, Antonio Vivaldi, I Musici Vivaldi Deep Keras Implementing deep models networks the power Sujit Pal Gaia Le Spose Reggio Calabria Calabria, la boutique per spose propone modelli esclusivi il giorno del si con creazioni delle pi importanti marche della moda settore SANT ANTONIO chiaravallepro IL CIRCO CHIARAVALLE DIRITTO ALLA FELICIT di Vittorio Bonacci You May Also Like ISPLI diplomatici Selezione nome lettera iniziale non impostata Indice Posizioni Organizzative regione campania Della Peruta Umberto COME FAREMO SENZA ITALIA Basta Italia Capita ancora qualcuno che fa questa domanda Per fortuna diventa sempre raro, perch i hanno capito chi ci sta portando picco proprio l Instruments Stradivarius Wikipdia Un stradivarius est, par antonomase, un instrument fabriqu dans atelier d Stradivari dit , qui donna son nom ses violons Francesca Antoniotti nue hot et sexy France On retrouve Star Academy mdia avec images Francesca est sur Albo Iscritti Ordine degli Ingegneri Provincia Cognome Nome Specializzazione Dettagli ABATE ALESSANDRO Laurea Ingegneria elettronica vedi dettagli MASSIMO civile TensorFlow 1.x Deep Learning Cookbook: Over 90 unique recipes to solve artificial-intelligence driven problems with Python

    • Format Kindle
    • 1788293592
    • TensorFlow 1.x Deep Learning Cookbook: Over 90 unique recipes to solve artificial-intelligence driven problems with Python
    • Antonio Gulli
    • Anglais
    • 05 August 2017
    • 536 pages

Leave a Reply

Your email address will not be published. Required fields are marked *