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Complete Tensorflow 2 and Keras Deep Learning Bootcamp
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Other > Other
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357
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8.32 GiB (8937667329 Bytes)
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tuts756 Trusted
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888FF80C298F0AF1E2BF48CE99E5E9F0F036B042




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Description

This course will guide you through how to use Google’s latest TensorFlow 2 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 2 framework in a way that is easy to understand.

We’ll focus on understanding the latest updates to TensorFlow and leveraging the Keras API (TensorFlow 2.0’s official API) to quickly and easily build models. In this course we will build models to forecast future price homes, classify medical images, predict future sales data, generate complete new text artificially and much more!

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

    NumPy Crash Course
    Pandas Data Analysis Crash Course
    Data Visualization Crash Course
    Neural Network Basics
    TensorFlow Basics
    Keras Syntax Basics
    Artificial Neural Networks
    Densely Connected Networks
    Convolutional Neural Networks
    Recurrent Neural Networks
    AutoEncoders
    GANs – Generative Adversarial Networks
    Deploying TensorFlow into Production
    and much more!

Keras, a user-friendly API standard for machine learning, will be the central high-level API used to build and train models. The Keras API makes it easy to get started with TensorFlow 2. Importantly, Keras provides several model-building APIs (Sequential, Functional, and Subclassing), so you can choose the right level of abstraction for your project. TensorFlow’s implementation contains enhancements including eager execution, for immediate iteration and intuitive debugging, and tf.data, for building scalable input pipelines.

TensorFlow 2 makes it easy to take new ideas from concept to code, and from model to publication. TensorFlow 2.0 incorporates a number of features that enables the definition and training of state of the art models without sacrificing speed or performance

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 deep learning guru today! We’ll see you inside the course!
Who this course is for:

    Python developers interested in learning about TensorFlow 2 for deep learning and artificial intelligence

Requirements

    Know how to code in Python
    Some math basics such as derivatives

Last Updated 6/2022

[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/9 - Recurrent Neural Networks RNNs/89 - Bonus Multivariate Time Series RNN and LSTMs.mp4235.07 MiB
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[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/8 - Convolutional Neural Networks CNNs/69 - cellimageszip Click the blue download button or the download button on the top right you cant preview this zip.txt7 B
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[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/9 - Recurrent Neural Networks RNNs/83 - RNN on a Sine Wave Creating the Model.mp495.89 MiB
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[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/8 - Convolutional Neural Networks CNNs/68 - CNN on CIFAR10 Part Two Evaluating the Model.mp452.02 MiB
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