A smooth path to Semantics Lab

1.1 - Basic python [ Structure + OOP]

• Python3 Intro

1.2 - Books

• Python Cookbook
• Automate The Boring Stuff With Python

2.1 Configure Deep Learning Environment and Introduction to Anaconda

• Manage-Environments

2.2 - Introduction to Numpy

• Numpy intro

3 - Basic Staistical Operation using Python

• Statistics

4 - Introduction to OpenCV

• OpenCV

5 - Indroduction to Deep Learning

• Deep Learning Intro

6 - Intuition of Gradient Descent algorithm

• Stochastic Gradient Descent

7 - Introduction to google colab

This is very important. You can use GPU machine to experiment Deep learning algorithm. Which is not possible if you use CPU machine.

• Get started with Google Colaboratory
  • https://www.youtube.com/watch?v=inN8seMm7UI
• Google Colaboratory Notebook Tutorial with GPU (Very Easy)
  • https://www.youtube.com/watch?v=f1UK8KPt-KU
• A Simpe Neural network with Tensorflow-Keras using Colaboratory
  • https://www.youtube.com/watch?v=6_upGYUtjdU
• http://colab.research.google.com/

8 - Introduction to Basic Linux command lines

• https://sh.howtocode.com.bd/

9 - Resources

• Numpy and Image processing

  - https://note.nkmk.me/en/python-numpy-image-processing/
  

• Basic Machine learning [ Bangla Tutorials]

  • https://ml.howtocode.com.bd/

• Basic Deep learning [ Bangla Tutorials ]

  • https://dl.howtocode.com.bd/

• Machine Learing Crash Course by Google

  • https://developers.google.com/machine-learning/crash-course/

• Hand books on Deep learning

  • Deep_Learning_with_Python_by_Chollet
  • Deep_Learning_by_Ian_Goodfellow