Computer Vision using PyTorch

Course Description

Delve into the realm of Computer Vision with PyTorch in this practical course. Explore image processing, object identification, and deep learning methods using PyTorch. Get hands-on experience with PyTorch's versatile framework to create and grasp convolutional neural networks (CNNs) for tasks like recognizing objects in images. Address real-world problems such as image understanding and facial recognition. By the course's conclusion, you'll possess the know-how to handle intricate computer vision challenges using PyTorch.

Course Duration: 1 month + 1 month internship (optional)

Starts On: TBD

Mode: Online & Offline

Timing: Flexible timing

Certificate: E-Certificate

Course Modules

Introduction to Python and PyTorch

Regression Analysis workflow with PyTorch

Common PyTorch Modules: Autograd, Opt & NN

Deep Learning and Neural Networks

Data Visualization, Data Cleaning and Data Pre-processing with PyTorch

Building CNN with PyTorch

Introduction to Custom Datasets

Introduction to Transfer Learning Models

Experiment Tracking with PyTorch

Projects

Download Syllabus CLICK

Download Course Materials CLICK

Course Instructor

Dr. Suresh Kannaiyan Ph.D.,

Founder, Menmozhi Technologies

Dr. Suresh, an accomplished data scientist specializing in Computer Vision, Machine Learning, NLP, and Generative AI, is recognized for his significant contributions to the field. With over 7 years of industry experience, He has successfully delivered more than 15 projects, demonstrating his expertise and proficiency. He has also provided guidance to over 1300 students, equipping them with vital skills in data science. Moreover, He actively supports students' startups through the Data Science Innovators Garage program. Notably, he is the innovator behind "Vennila AI," an AI-based mock interview tool designed to aid job seekers in their preparation for interviews. This product can be explored further on the website vennilaai.in. You can reach him via email: suresh@menmozhi.com and LinkedIn: https://www.linkedin.com/in/drsureshkannaiyan/

Course Fee Details

The fee structure for the course is outlined in the table below:

Fee Type	Amount
Training Fee	₹ 10,000/-
Material Fee	₹ 0
Project or Internship Fee	₹ 0 (NO FEE for our participants)
AI based Mock Interview	₹ 0 (NO FEE for our participants)
E-Certificate	₹ 500/-
Total	₹ 10,500/-

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Nimal S, VIT Chennai: "Worked as a data science intern for 2 months. It was a great experience to learn aspects of python, Open AI and gpt-3.5. Thank you Menmozhi Technologies and Suresh sir for your kind support and guidance."

Thejaswini Lamani, DSATM Bengalore: "I attended the workshop of ai ml, cv and the session was very interesting. Hands-on sessions were also conducted to understand the concept very clearly."

Naveen Kannanm, DSATM Bengalore: "Excellent teaching."

RAJ MOHAN, Trichy: "Supportive and inclusive work environment where I feel comfortable asking questions and seeking guidance. The team members and supports were approachable and always willing to offer assistance, which greatly contribute to my learning experience."

Fakruddin Ali Ahamed, Bengalore: "Very useful session as I learnt ml concepts in depth. So thank you sir for sharing the knowledge."

Keshav Kumar, Bhopal: "It had been a great experience to learn machine learning using Python."

Padma Y, Delhi: "Got a chance to attend the workshop on AI ML, which was very knowledgeable and very understanding."