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Zero to Master in Deep Learning for Vision

Ajinkya Kolhe - Senior Technical Trainer - Data Engineering| ML| DL

6 modules

English

Lifetime access

Learn Computer Vision Domain (from Simple Digit Classification to Image Generation like Midjourney)

Overview

A six week cohort to learn entire Computer Vision Domain, from Simple Digit Classification to Image Generation like Midjourney. 2 Hours Lecture on Saturday & Sunday from 10 AM to 12PM.

  • Building from Scratch, Not a Prompt Engineering course
  • Learn to build & fine tune your own Image Generation Models from scratch
  • Build your portfolio with end-to-end projects: Through guided instruction and practical exercises, participants will work on real-world projects from inception to deployment, applying their knowledge in a practical setting.

Key Highlights

Learn generative AI from scratch

Create AI systems for creative outputs

What you will learn

Understand Generative AI

Get a solid understanding of the fundamentals of Generative AI and its applications in programming.

Hands-on Projects

Gain practical experience through hands-on projects that will deepen your knowledge and skills.

Modules

Unit 1: Neural Network Crash Course for Image Classification

6 attachments • 1 mins

Lectures

Simple Neural Network Image Classification on Kaggle - (18 May - 10:00 AM to 12:00 PM)

Convolution for Image Classification - (19 May - 10:00 AM to 12:00 PM)

Assignments

2 Kaggle Competitions - 5 Submissions

Week 1 - Study Materials

Unit 2: Classification, Detection

6 attachments • 1 mins

Lectures

Standard Classification Architectures and Transfer Learning

Landscape of Computer Vision Problems & Pytorch models via timm

Assignments

CODE: Kaggle Submission

Week 2 - Study Materials

Unit 3: Denoising, Super Resolution, Image Generation

6 attachments • 1 mins

Lectures

Image Classification and Transfer Learning

Image Generation with GANs & brainstorming new approaches

Assignments

CODE: Denoising, Super Resolution & Image Generation

Week 3 - Reading Materials

Unit 4: Transformers & Diffusers - Need for Fast Unsupervised Learning

4 attachments • 1 mins

Lectures

Image Generation via Denoising - One step to n Steps

Image Generation via Denoising - DDPM & it's variants

Week 4 Resources

Unit 5: Diffusion Models continued

2 attachments

Lectures

Variants of Diffusion Models

Unit 6: Fine Tuning Stable Diffusion

3 attachments

Lectures

Introduction to Stable Diffusion

Stable Diffusion's Future

About the creator

About the creator

Ajinkya Kolhe - Senior Technical Trainer - Data Engineering| ML| DL

Ajinkya Kolhe is a Senior Technical Trainer with 7+ years of experience in the following domains:

- Software Development

- Enterprise customer training

- Making DL concepts easier to understand and providing functional solutions to real world problems.

Ajinkya has trained individuals across a wide range of experience and knowledge levels like:

- Computer Science Students

- Developers looking to upskill

- ML training for College and Corporate batches both as a part of Google and freelance.

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