Convolutional Neural Networks in Python: CNN Computer Vision [FREE]

Free Certification Course Title: Convolutional Neural Networks in Python: CNN Computer Vision

Python for Computer Vision & Image Recognition – Deep Learning Convolutional Neural Network (CNN) – Keras & TensorFlow 2

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 the usage of Keras and Tensorflow libraries
  • Use Artificial Neural Networks (ANN) to make predictions
  • Use Pandas DataFrames to manipulate data and make statistical computations.

Requirements:

  • Students will need to install Python and Anaconda software but we have a separate lecture to help you install the same

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

Description:

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.

This course includes:

  • 7.5 hours on-demand video
  • 4 articles
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion