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CNN for Computer Vision with Keras and TensorFlow in Python

CNN for Computer Vision with Keras and TensorFlow in Python
Udemy Course CNN for Computer Vision with Keras and TensorFlow in Python  | NED
Python for Computer Vision & Image Recognition - Deep Learning Convolutional Neural Network (CNN) - Keras & TensorFlow 2 4.4 (163 ratings) Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating

What you'll learn

  • Get a solid understanding of Convolutional Neural Networks (CNN) and Deep Learning
  • Build an end-to-end Image recognition project in Python
  • Learn usage of Keras and Tensorflow libraries
  • Use Artificial Neural Networks (ANN) to make predictions
  • Use Pandas DataFrames to manipulate data and make statistical computations.

You're looking for a complete Convolutional Neural Network (CNN) course that teaches you everything you need to create a Image Recognition model in Python, right?

You've found the right Convolutional Neural Networks course!

After completing this course you will be able to:
  • Identify the Image Recognition problems which can be solved using CNN Models.
  • Create CNN models in Python using Keras and Tensorflow libraries and analyze their results.
  • Confidently practice, discuss and understand Deep Learning concepts
  • Have a clear understanding of Advanced Image Recognition models such as LeNet, GoogleNet, VGG16 etc.

How this course will help you?

A Verifiable Certificate of Completion is presented to all students who undertake this Convolutional Neural networks course.

If you are an Analyst or an ML scientist, or a student who wants to learn and apply Deep learning in Real world image recognition problems, this course will give you a solid base for that by teaching you some of the most advanced concepts of Deep Learning and their implementation in Python without getting too Mathematical.
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