- 80% The Deep Learning Masterclass: Classify Images with Keras

The Deep Learning Masterclass: Classify Images with Keras

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  • At udemy.com you can purchase The Deep Learning Masterclass: Classify Images with Keras for only $10.00
  • The lowest price of The Deep Learning Masterclass: Classify Images with Keras was obtained on November 26, 2024 9:06 am.

Original price was: $49.99.Current price is: $10.00.

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Last updated on November 26, 2024 9:06 am
The Deep Learning Masterclass: Classify Images with Keras
The Deep Learning Masterclass: Classify Images with Keras

Original price was: $49.99.Current price is: $10.00.

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The Deep Learning Masterclass: Classify Images with Keras

★★★★★
$49.99
$10.00
 in stock
Udemy.com
as of November 26, 2024 9:06 am

Build models with Python, TensorFlow, PyCharm, API & CIFAR-10. Learn machine learning, neural networks, & convolutions!

Created by: Mammoth Interactive
Top-Rated Instructor, 3.3 Million+ Students
Created by: John Bura
Best Selling Instructor Web/App/Game Developer 1Mil Students
Rating:4.3 (83reviews)     483students enrolled

What Will I Learn?

  • Use PyCharm and run Python files and programs on the interface
  • Brush up on the fundamentals and fix bad coding habits in the #1 Python programming language
  • Understand and use machine learning and neural networks with core concepts and examples
  • Get a solid grasp of using convolutions
  • Learn to use the Keras API and Syntax
  • Get to know TensorFlow, the open source machine learning framework for everyone
  • Explore the CIFAR-10 image dataset
  • Build an image classifier model from scratch
  • Classify images by training a model
  • Get all source files for your quick reference
  • And much more!

Requirements

  • No experience required!
  • We will show you how to get PyCharm, Python, Keras and TensorFlow
  • This course was recorded on a Mac, but you can use a PC.

Target audience

  • People who want to learn machine learning concepts through practical projects with Keras, PyCharm, Python and TensorFlow
  • Anyone who wants to learn the technology that is shaping how we interact with the world around us

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