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    You are at:Home»Development»Complete Guide To TensorFlow For Deep Learning With Python
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    Complete Guide To TensorFlow For Deep Learning With Python

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    Complete Guide To TensorFlow For Deep Learning With Python - Online Course Download
    Complete Guide To TensorFlow For Deep Learning With Python - Online Course Download
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    Data Science Deep Learning Development free online course free udemy paid course freecourse freecoursesite udemy course download udemy free download

    What you'll learn :

    Understand how Neural Networks Work

    Build your own Neural Network from Scratch with Python

    Use TensorFlow for Classification and Regression Tasks

    Use TensorFlow for Image Classification with Convolutional Neural Networks
    Use TensorFlow for Time Series Analysis with Recurrent Neural Networks
    Use TensorFlow for solving Unsupervised Learning Problems with AutoEncoders
    Learn how to conduct Reinforcement Learning with OpenAI Gym
    Create Generative Adversarial Networks with TensorFlow
    Become a Deep Learning Guru!

    Requirements :

    Some knowledge of programming (preferably Python)
    Some basic knowledge of math (mean, standard deviation, etc..)

    Description :

    Welcome to the Complete Guide to TensorFlow for Deep Learning with Python!

    This course will guide you through how to use Google’s TensorFlow framework to create artificial neural networks for deep learning! This course aims to give you an easy to understand guide to the complexities of Google’s TensorFlow framework in a way that is easy to understand. Other courses and tutorials have tended to stay away from pure tensorflow and instead use abstractions that give the user less control. Here we present a course that finally serves as a complete guide to using the TensorFlow framework as intended, while showing you the latest techniques available in deep learning!

    This course is designed to balance theory and practical implementation, with complete jupyter notebook guides of code and easy to reference slides and notes. We also have plenty of exercises to test your new skills along the way!

    This course covers a variety of topics, including

    Neural Network Basics
    TensorFlow Basics
    Artificial Neural Networks
    Densely Connected Networks
    Convolutional Neural Networks
    Recurrent Neural Networks
    AutoEncoders
    Reinforcement Learning
    OpenAI Gym
    and much more!

    There are many Deep Learning Frameworks out there, so why use TensorFlow?

    TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google’s Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.

    It is used by major companies all over the world, including Airbnb, Ebay, Dropbox, Snapchat, Twitter, Uber, SAP, Qualcomm, IBM, Intel, and of course, Google!

    Become a machine learning guru today! We’ll see you inside the course!

    Who this course is for :

    Python students eager to learn the latest Deep Learning Techniques with TensorFlow

    Course Size Details :

    14 hours on-demand video
    7 articles
    5 downloadable resources
    Full lifetime access
    Access on mobile and TV
    Certificate of completion

    View Demo

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