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    1. Data och IT
    2. Systemvetenskap och AI

    Applied TensorFlow and Keras Workshop

    Develop your practical skills by working through a real-world project and build your own Bitcoin price prediction tracker

    AvHarveen Singh Chadha,Luis Capelo

    Häftad, Engelska, 2020

    454 kr

    Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

    Beskrivning

    Cut through the noise and get real results with this workshop for beginners. Use a project-based approach to exploring machine learning with TensorFlow and Keras.Key FeaturesUnderstand the nuances of setting up a deep learning programming environmentGain insights into the common components of a neural network and its essential operationsGet to grips with deploying a machine learning model as an interactive web application with FlaskBook DescriptionMachine learning gives computers the ability to learn like humans. It is becoming increasingly transformational to businesses in many forms, and a key skill to learn to prepare for the future digital economy.As a beginner, you’ll unlock a world of opportunities by learning the techniques you need to contribute to the domains of machine learning, deep learning, and modern data analysis using the latest cutting-edge tools.The Applied TensorFlow and Keras Workshop begins by showing you how neural networks work. After you’ve understood the basics, you will train a few networks by altering their hyperparameters. To build on your skills, you’ll learn how to select the most appropriate model to solve the problem in hand. While tackling advanced concepts, you’ll discover how to assemble a deep learning system by bringing together all the essential elements necessary for building a basic deep learning system - data, model, and prediction. Finally, you’ll explore ways to evaluate the performance of your model, and improve it using techniques such as model evaluation and hyperparameter optimization.By the end of this book, you'll have learned how to build a Bitcoin app that predicts future prices, and be able to build your own models for other projects.What you will learnFamiliarize yourself with the components of a neural networkUnderstand the different types of problems that can be solved using neural networksExplore different ways to select the right architecture for your modelMake predictions with a trained model using TensorBoardDiscover the components of Keras and ways to leverage its features in your modelExplore how you can deal with new data by learning ways to retrain your modelWho this book is forIf you are a data scientist or a machine learning and deep learning enthusiast, who is looking to design, train, and deploy TensorFlow and Keras models into real-world applications, then this workshop is for you. Knowledge of computer science and machine learning concepts and experience in analyzing data will help you to understand the topics explained in this book with ease.

    Produktinformation

    • Utgivningsdatum:2020-07-30
    • Mått:191 x 235 x 10 mm
    • Vikt:338 g
    • Format:Häftad
    • Språk:Engelska
    • Antal sidor:174
    • Förlag:Packt Publishing Limited
    • ISBN:9781800201217

    Utforska kategorier

    • Systemvetenskap och AI inom Data och IT

    Mer om författaren

    Harveen Singh Chadha is an experienced researcher in deep learning and is currently working as a self-driving car engineer. He is focused on creating an advanced driver assistance systems (ADAS) platform. His passion is to help people who want to enter the data science universe. He is the author of the video course Hands-On Neural Network Programming with TensorFlow. Luis Capelo is a Harvard-trained analyst and a programmer, who specializes in designing and developing data science products. He is based in New York City, America. Luis is the head of the Data Products team at Forbes, where they investigate new techniques for optimizing article performance and create clever bots that help them distribute their content. He worked for the United Nations as part of the Humanitarian Data Exchange team (founders of the Center for Humanitarian Data). Later on, he led a team of scientists at the Flowminder Foundation, developing models for assisting the humanitarian community. Luis is a native of Havana, Cuba, and the founder and owner of a small consultancy firm dedicated to supporting the nascent Cuban private sector. Contacted by Sneha Shinde on Jan 28, 2020 Contacted by Sneha Shinde on Jan 20, 2020 Alex Rutherford is a Research Scientist at MIT Media Lab. He has a PhD in Physics and nearly 10 years of experience of using Python for data analysis and modeling gained at the United Nations, Facebook, and elsewhere. He has tackled many problems using data analysis including epidemiology, ethnic violence, vaccine hesitancy, and constitutional change and has built pipelines for social media data, legal documents, and news articles among others. He blogs and tweets regularly on data science and data privacy. Contacted by Sneha Shinde on Jan 17, 2020

    Innehållsförteckning

    • Table of ContentsIntroduction to Neural Networks and Deep LearningReal-World Deep Learning: Predicting the Price of BitcoinReal-World Deep Learning: Evaluating the Bitcoin ModelProductization
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