PythonDeepLearning

Python and Deep Learning Course - CSEE5590/CS490 Applied Programming Learning (APL) Series- (Summer 2020)

Course Description:
This course teaches students how Python (Part 1) and Deep Learning (Part 2) actually work as well as how to apply them to applications. Students will build applied programming skills using case studies from object detection, music generation, gaming, and natural language processing. The programming will be in Python and in TensorFlow.

Note: Part 1 (Week 1 – 8): Teaches programming skills useful to engineers and scientists. Learn how Python is used for machine learning applications.

Note: Part 1 (Week 1 – 8): Python: There are no prerequisites for prior experience with computing tools required to perform projects.

Module 1 ICP-1:Basics-of-Python

Module 1 ICP-2:Loops,-List,-Tuples,-Functions-in-python

Module 1 ICP-3:Object-Oriented-Python,-Web-Scraping,-and-Numpy

Module 1 ICP-4:Machine-Learning-with-Scikit-Learn

Module 1 ICP-5:Regression techniques Simple and Multiple Regression

Module 1 ICP-6:Clustering-Techniques

Module 1 ICP-7:Natural-Language-Processing-in-Python-using-NLTK

Module 2 ICP-1:Basics in Keras-1

Module 2 ICP-2:Basics in Keras-2

Module 2 ICP-3:Word-Embedding

Module 2 ICP-4:Image-Classification-with-CNN

Module 2 ICP-5:LSTM

Module 2 ICP-6:Autoencoders