Tag: Google Colab

Deep Learning: Convolutional Neural Networks in Python

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Course content

  • Welcome
  • Google Colab
  • Machine Learning and Neurons
  • Feedforward Artificial Neural Networks
  • Convolutional Neural Networks
  • Natural Language Processing (NLP)
  • Convolution In-Depth
  • Convolutional Neural Network Description
  • Practical Tips
  • In-Depth: Loss Functions
  • In-Depth: Gradient Descent
  • Setting Up Your Environment (FAQ by Student Request)
  • Extra Help With Python Coding for Beginners (FAQ by Student Request)
  • Effective Learning Strategies for Machine Learning (FAQ by Student Request)
  • Appendix / FAQ Finale

Learn Python with Google Colab – A Step to Machine Learning

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Basics of Python

Data types

Printing output

If-Else conditions

Looping using for, while

Arithmatic operations

Working with functions

Working with List and Arrays

Performing action on List

Tuple, Set and Dictionary

Working with packages

Hands-on with Class

Requirements

  • Basic programming concepts are sufficient

Description

This course is completely practical based and is per-requisite for our upcoming Machine Learning course. With around 25 lectures, this course is designed in such a way that you can take spark of Google Colab enabling Jupiter notebook , the best platform to practice Machine Learning  and is enriched with all the basic concepts that is required to start with python programming. After completing this course, you should have basic python understanding.

Who this course is for:

  • Beginner and Intermediate

Course content

Learn Python with Google Colab – A Step to Machine Learning

Posted on by admin

Basics of Python

Data types

Printing output

If-Else conditions

Looping using for, while

Arithmatic operations

Working with functions

Working with List and Arrays

Performing action on List

Tuple, Set and Dictionary

Working with packages

Hands-on with Class

Requirements

  • Basic programming concepts are sufficient

Description

This course is completely practical based and is per-requisite for our upcoming Machine Learning course. With around 25 lectures, this course is designed in such a way that you can take spark of Google Colab enabling Jupiter notebook , the best platform to practice Machine Learning  and is enriched with all the basic concepts that is required to start with python programming. After completing this course, you should have basic python understanding.

Who this course is for:

  • Beginner and Intermediate

Course content