A smooth path to Semantics Lab

1 - Basic python [ Structure + OOP]

• Python3 Intro

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
• Google Colaboratory Notebook Tutorial with GPU
• A Simpe Neural network with Tensorflow-Keras using Colaboratory

8 - Introduction to Basic Linux command lines

• https://sh.howtocode.com.bd/

9 - Resources

• Numpy and Image processing
• Basic Machine learning (Bangla Tutorials)
• Basic Deep learning (Bangla Tutorials)
• Machine Learing Crash Course by Google
• Basic tensor operations (Tensorflow)
• Symbolic and imperative apis in tensorflow-2-0

10 - Books

• Deep_Learning_with_Python_by_Chollet
• Deep_Learning_by_Ian_Goodfellow
• Python Cookbook
• Automate The Boring Stuff With Python