Convolutional Neural Networks in Python: CNN Computer Vision

Convolutional Neural Networks in Python: CNN Computer Vision

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.

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.

Who this course is for:

  • People pursuing a career in data science
  • Working Professionals beginning their Deep Learning journey
  • Anyone curious to master image recognition from Beginner level in short span of time

How to Enroll Convolutional Neural Networks in Python: CNN Computer Vision course?

  • To Access "Convolutional Neural Networks in Python: CNN Computer Vision" Click on Enroll Now button at end of the post. It will redirect you to Udemy Course Page and then you can start the enrollment process.
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