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Complete Tensorflow 2 and Keras Deep Learning Bootcamp

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_NAME_:Complete Tensorflow 2 and Keras Deep Learning Bootcamp
Description:

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
YouTube Video:
Catégorie:Tutorials
Langue :English  English
Taille totale:8.32 GB
Info Hash:888FF80C298F0AF1E2BF48CE99E5E9F0F036B042
Ajouté par:tutsnode Verified UploaderVIP
Date:2023-03-10 23:48:12
Statut Torrent:Torrent Verified


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