ExplainingAI

Hello, I am Tushar and this channel is a product of two things that I am very passionate about.
Learning something new everyday specifically related to my field which is ML, Deep Learning & Computer Vision(hoping to expand this list with this channel :) )

Teaching and explaining things in the most simple manner that I can, to people who are interested in knowing what I already know. Making their learning process little bit easier and lot more fun.

If you are interested in continuously learning and improving and have any intersection with my interests, then do subscribe (obviously only if you like the content otherwise just ignore me for now and comeback when my content has become worthy of your subscription, which it will someday :) )

Thank you so much for visiting my channel
Tushar,
x-Amazon | Last seen building AI for cooking robot @ Nymble (https://www.eatwithnymble.com/)
https://www.linkedin.com/in/tushar-kumar-40299b19/

Обучение смешанной точности | Объяснение и реализация PyTorch с нуля

Обучение смешанной точности | Объяснение и реализация PyTorch с нуля
Основные идеи, лежащие в основе моделей генеративного ИИ на основе потока

Основные идеи, лежащие в основе моделей генеративного ИИ на основе потока
Normalizing Flows Explained | Flow Matching Part-1 | Generative AI

Normalizing Flows Explained | Flow Matching Part-1 | Generative AI
YOLOv5 Tutorial | Architecture, Assigning Targets & Loss Function Explained

YOLOv5 Tutorial | Architecture, Assigning Targets & Loss Function Explained
Batch Normalization Explained | Why It Works in Deep Learning

Batch Normalization Explained | Why It Works in Deep Learning
DETR PyTorch Implementation | DETR Tutorial Part 2

DETR PyTorch Implementation | DETR Tutorial Part 2
DETR Explained | End-to-End Object Detection with Transformers | DETR Tutorial Part 1

DETR Explained | End-to-End Object Detection with Transformers | DETR Tutorial Part 1
Denoising Diffusion Implicit Models (DDIM) Explained

Denoising Diffusion Implicit Models (DDIM) Explained
YOLOv4 Explained | CIOU Loss, CSPDarknet53, SPP, PANet | Everything about it

YOLOv4 Explained | CIOU Loss, CSPDarknet53, SPP, PANet | Everything about it
YOLOv2 (YOLO9000) and YOLOv3 Explained

YOLOv2 (YOLO9000) and YOLOv3 Explained
Video Generation with Diffusion Transformers | Generative AI

Video Generation with Diffusion Transformers | Generative AI
Single Shot Multibox Detector | SSD Object Detection Explained and Implemented

Single Shot Multibox Detector | SSD Object Detection Explained and Implemented
Scalable Diffusion Models with Transformers | DiT Explanation and Implementation

Scalable Diffusion Models with Transformers | DiT Explanation and Implementation
YOLO Object Detection | YoloV1 Explanation and Implementation Tutorial

YOLO Object Detection | YoloV1 Explanation and Implementation Tutorial
ControlNet with Diffusion Models | Explanation and PyTorch Implementation

ControlNet with Diffusion Models | Explanation and PyTorch Implementation
Faster RCNN PyTorch Code Walkthrough | Fine-Tuning and Custom Dataset Training

Faster RCNN PyTorch Code Walkthrough | Fine-Tuning and Custom Dataset Training
Faster R-CNN PyTorch Implementation

Faster R-CNN PyTorch Implementation
Faster R-CNN Explanation | Region Proposal Network

Faster R-CNN Explanation | Region Proposal Network
Fast R-CNN Explained | ROI Pooling

Fast R-CNN Explained | ROI Pooling
Mean Average Precision (mAP) | Explanation and Implementation for Object Detection

Mean Average Precision (mAP) | Explanation and Implementation for Object Detection
R-CNN Explained

R-CNN Explained
Stable Diffusion from Scratch in PyTorch | Conditional Latent Diffusion Models

Stable Diffusion from Scratch in PyTorch | Conditional Latent Diffusion Models
Stable Diffusion from Scratch in PyTorch | Unconditional Latent Diffusion Models

Stable Diffusion from Scratch in PyTorch | Unconditional Latent Diffusion Models
Учебное пособие по DCGAN с реализацией PyTorch

Учебное пособие по DCGAN с реализацией PyTorch
Generative Adversarial Networks | Tutorial with Math Explanation and PyTorch Implementation

Generative Adversarial Networks | Tutorial with Math Explanation and PyTorch Implementation
Denoising Diffusion Probabilistic Models Code | DDPM Pytorch Implementation

Denoising Diffusion Probabilistic Models Code | DDPM Pytorch Implementation
Denoising Diffusion Probabilistic Models | DDPM Explained

Denoising Diffusion Probabilistic Models | DDPM Explained
Классификация изображений с помощью Vision Transformer | Изображение стоит 16x16 слов

Классификация изображений с помощью Vision Transformer | Изображение стоит 16x16 слов
ВНИМАНИЕ | Изображение стоит 16x16 слов | Vision Transformers (ViT) Объяснение и реализация

ВНИМАНИЕ | Изображение стоит 16x16 слов | Vision Transformers (ViT) Объяснение и реализация
ВНЕДРЕНИЕ ПАТЧА | Vision Transformers: объяснение

ВНЕДРЕНИЕ ПАТЧА | Vision Transformers: объяснение