18:18

Transformer Decoder implementation using PyTorch | Cross Attention | Attention is all you need

13:46

Transformer Encoder in PyTorch | Implementing Self Attention in Encoder using Python | Attention.

16:05

Positional Encoding in Transformer using PyTorch | Attention is all you need | Python

11:52

Transformer Decoder | Masked Multi Head Attention, Cross Attention | Attention is all you Need.

07:47

Transformer Encoder architecture. Attention is all you need

18:33

Positional Encoding in Transformer | Sine and Cosine encodings

13:42

Cross Attention Mechanism in PyTorch from scratch & Visualizations | Attention Mechanism in PyTorch

20:28

Mutli-Head Attention Mechanism in PyTorch from scratch & Visualizations | Attention in PyTorch

16:38

Self-Attention Mechanism in PyTorch from scratch & Visualizations | Attention Mechanism in Python.

08:46

Cross attention mechanism visualized | Attention mechanism explained | Deep Learning. Pytorch

20:04

Multi-head attention mechanism visualized | Attention mechanism explained | Deep Learning. Pytorch

15:47

Self attention mechanism visualized | Attention mechanism explained | Deep Learning.

11:30

Working of the attention mechanism | How attention mechanism works. Query, Key and Value vectors.

15:20

Background for Attention Mechanism. Why do we need attention mechanism. Long term dependency problem

03:21

Introduction - 1 | Attention mechanism in Deep Learning.

18:15

nn.ConvTranspose2d | PyTorch function fully discussed | stride, padding, output_padding, dilation

13:09

Transposed Convolution in Deep Learning. Stride , Padding, Dilation, Output_padding

04:53

#AskDL How much time does it take for a programmer to learn a new language?

09:08

RNN/LSTM with Attention | Why Transformer is better than LSTM and RNN.

06:35

Language Detection using Mediapipe | Language Classification using Python and Deep Learning.

06:18

Text Embedder using Mediapipe | Find cosine similarity between two text samples in Mediapipe.

06:33

Text Classification using Mediapipe | Sentiment analysis using Mediapipe

06:34

Face Stylization using Mediapipe | Color ink, color sketch and oil painting effect in Mediapipe

11:05

Pose Landmark Detection using Mediapipe | Find the important body landmarks using Mediapipe.

11:56

nn.MaxPool2d | PyTorch function fully discussed | kernel_size , ceil_mode , return_indices, dilation

14:26

nn.Conv2d | Part - 3 fully discussed | Groups, bias and formula for convolution

22:05

nn.Conv2d | Part - 2 fully discussed | padding, padding_modes and dilation.

07:37

Face Landmark Detection using Mediapipe | Facial expression and landmarks in face images

10:15

Face Detection using Mediapipe | Keypoints detection on face and Bounding Box

10:28

Hand Landmark Detection in Mediapipe.

09:56

Image Gesture recognition using Mediapipe

10:36

Image Embedding using Mediapipe | How to find Image Similarity in Python.

05:35

#AskDL Will Mediapipe and OpenCV be relevant? | Ask your questions on the daily #AskDL post hashtag

15:06

nn.Conv2d | Part - 1 fully discussed | in & out channels, stride, kernel_size | PyTorch functions

03:51

Ep - 1 | Intro and Data | Audio Classification in PyTorch Project | Urban Sound classification CNN

11:05

Instance image segmentation using Mediapipe | Segment one object in an image

10:04

Discussion on ChatBots in AI | Simple to Advanced Chatbots.

09:36

Coding and AI in College | Useful tips for someone starting with AI and Coding in College.

04:59

Yolov10 object on a video using CLI.

14:21

Ep - 7 | Results and Test function| Bird Classification project in Deep Learning using PyTorch

19:56

YOLOv10 Object Detection in Python | Object detection using YOLO in Python

08:19

Ep - 6 | Writing the validation fn | Bird Classification project in Deep Learning using PyTorch

12:40

Ep - 5 | Writing the train function | Bird Classification project in Deep Learning using PyTorch

08:53

Ep - 4 | Writing the model | Bird Classification project in Deep Learning using PyTorch

17:46

Ep - 3 | transforms and DataLoader | Bird Classification project in Deep Learning using PyTorch

06:17

#AskDL Can we use pretrained word embedding in PyTorch | Discussion on nn.Embedding in PyTorch

09:28

Ep - 2 | Setting up - libraries & paths | Bird Classification project in Deep Learning using PyTorch

04:49

Ep - 1 | Introduction and data | Bird Classification project in Deep Learning using PyTorch

10:29

#AskDL A discussion on autoencoder | Overview | Ask your questions

08:43

#AskDL Deep Learning in Healthcare | Discussion | Ask your questions.

06:03

We will be starting with projects on this channel.

08:19

#AskDL Please ask you questions in the community posts.

07:28

Text Suggestion and Finance in Deep Learning | AskDL

07:36

Portrait / Selfie image segmentation using Mediapipe | How to blur the background in Mediapipe.

16:04

Image Segmentation using Mediapipe | Mediapipe image segmentation using DeepLabv3.

03:30

Top 3 places to get dataset for ML/AI.

10:08

What makes AI algorithms hard | How to study AI algorithms | How to study Machine Learning and DL.

08:27

Image Classification using Machine Learning | How to do image classification using ML

12:32

When to choose ML over DL and vice versa | When should you use a ML model and when should you use DL

06:56

How to go indepth in Deep Learning | What to do after the basic stuff in deep learning.