Day 1

Module 1 Getting Started

• What is Pytorch
• Install and Run Pytorch

Module 2 Basic Pytorch Operations

• Pytorch Tensors
• Numpy Bridge
• Variables
• Autograd 

Module 3 Linear Regression with Pytorch

• Linear Regression Model
• Loss Function 
• Optimizer
• Training

Module 4 Neural Network (NN)

• What is Neural Network 
• Cross Entropy Loss
• Load Datasets with Torchvision
• Create Deep Neural Network with Pytorch
• Load and Save Mode

Day 2

Module 5 Convolutional Neural Network (CNN)

• What is CNN?
• CNN Architecture
• Convolution and Pooling
• Dropout
• CNN Classification
• Transfer Learning

Module 6 Recurrent Neural Network (RNN)

• What is RNN?
• RNN Architecture 
• Long Term Dependencies
• LSTM and GRU
• RNN Classification

Module 7 Reinforcement Learning (RL)

• What is Reinforcement Learning?
• Q-Learning
• OpenAI Gym
• Deep-Q Network (DQN)

• Data Scientists
• Data Analysts
• Engineers

Prerequisite

This is a intermediate course. The following knowledge is asumed:

• Basic Python

Software Requirement

Please install the following software prior to the class

1. Pycharm : - Install Pycharm (https://www.jetbrains.com/pycharm/download/)

2 . Install Pytorch 

Please follow this guide to install Pytorch https://pytorch.org/get-started/locally/

Dr. Aanand is a Full Stack Data Scientist who once had a torrid love affair with Physics. He has consulted and published in the area of Public Health, Electricity Markets, Telecom, BFSI, Advertising & Communication Strategies and Digital & Social Media Technologies. He has worked on assignments with international agencies such as International Monetary Fund, World Bank, Royal Netherland Embassy etc. besides MNCs like Tata Consultancy Services, Kie Square Consulting and several government organizations of national importance.

He regularly conducts general training programs in Python (Pandas, NumPy, SciPy, Matplotlib, Bokeh), R (dplyr, rstanarm, knitR, ggplot2), Data Visualization (Tableau, D3.js) and Machine Learnng (Reinforced Learning, Scikit Learn) and specialized training programs on Structural Equation Modeling and SAP Hana.

He holds a doctorate in Operations Research from Indian Institute of Management Ahmedabad and a post graduate in Physics from University of Mumbai. He has advanced training in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques. When he is not teaching or consulting he can be found meditating or heading for an adventurous trek.

Dr. Nouar Dah is an experienced Lab Instructor at YPU. He has experience has a software engineer and senior hardware engineer. He has a PhD in Mechatronics Engineering from IIUM. He is well-versed in microcontrollers, FPGA, Matlab and VHDL.

Amir Othman is a software engineer by profession. Being educated in Bauhaus Universität Weimar and Hochschule Ulm, he brings experiences from different facades of the world.

With expertise in web technology, natural language processing and machine learning, he is a freelance data scientist. Some of his works include two international news aggregator

www.kronologimalaysia.com and www.diezeitachse.de

He also holds an impressive port folio for data visualizations, primarily focusing on web based techniques.