Datum Learning

Datum Learning is a data science driven channel. I post interesting and informative videos on ML, DL, AI and more.

ChromaDB using Python.
ChromaDB using Python.
Sentence Transformer implementation in Python.
Sentence Transformer implementation in Python.
Sentence Transformer Explained | SBERT | Intuition in detail.
Sentence Transformer Explained | SBERT | Intuition in detail.
Transformer Decoder implementation using PyTorch | Cross Attention | Attention is all you need
Transformer Decoder implementation using PyTorch | Cross Attention | Attention is all you need
Transformer Encoder in PyTorch | Implementing Self Attention in Encoder using Python | Attention.
Transformer Encoder in PyTorch | Implementing Self Attention in Encoder using Python | Attention.
Positional Encoding in Transformer using PyTorch | Attention is all you need | Python
Positional Encoding in Transformer using PyTorch | Attention is all you need | Python
Transformer Decoder | Masked Multi Head Attention, Cross Attention | Attention is all you Need.
Transformer Decoder | Masked Multi Head Attention, Cross Attention | Attention is all you Need.
Transformer Encoder architecture. Attention is all you need
Transformer Encoder architecture. Attention is all you need
Positional Encoding in Transformer | Sine and Cosine encodings
Positional Encoding in Transformer | Sine and Cosine encodings
Cross Attention Mechanism in PyTorch from scratch & Visualizations | Attention Mechanism in PyTorch
Cross Attention Mechanism in PyTorch from scratch & Visualizations | Attention Mechanism in PyTorch
Mutli-Head Attention Mechanism in PyTorch from scratch & Visualizations | Attention in PyTorch
Mutli-Head Attention Mechanism in PyTorch from scratch & Visualizations | Attention in PyTorch
Self-Attention Mechanism in PyTorch from scratch & Visualizations | Attention Mechanism in Python.
Self-Attention Mechanism in PyTorch from scratch & Visualizations | Attention Mechanism in Python.
Cross attention mechanism visualized | Attention mechanism explained | Deep Learning. Pytorch
Cross attention mechanism visualized | Attention mechanism explained | Deep Learning. Pytorch
Multi-head attention mechanism visualized | Attention mechanism explained | Deep Learning. Pytorch
Multi-head attention mechanism visualized | Attention mechanism explained | Deep Learning. Pytorch
Self attention mechanism visualized | Attention mechanism explained | Deep Learning.
Self attention mechanism visualized | Attention mechanism explained | Deep Learning.
Working of the attention mechanism | How attention mechanism works. Query, Key and Value vectors.
Working of the attention mechanism | How attention mechanism works. Query, Key and Value vectors.
Предыстория механизма внимания. Зачем нужен механизм внимания? Проблема долговременной зависимости.
Предыстория механизма внимания. Зачем нужен механизм внимания? Проблема долговременной зависимости.
Introduction - 1 | Attention mechanism in Deep Learning.
Introduction - 1 | Attention mechanism in Deep Learning.
nn.ConvTranspose2d | PyTorch function fully discussed | stride, padding, output_padding, dilation
nn.ConvTranspose2d | PyTorch function fully discussed | stride, padding, output_padding, dilation
Transposed Convolution in Deep Learning. Stride , Padding, Dilation, Output_padding
Transposed Convolution in Deep Learning. Stride , Padding, Dilation, Output_padding
#AskDL How much time does it take for a programmer to learn a new language?
#AskDL How much time does it take for a programmer to learn a new language?
RNN/LSTM with Attention | Why Transformer is better than LSTM and RNN.
RNN/LSTM with Attention | Why Transformer is better than LSTM and RNN.
Language Detection using Mediapipe | Language Classification using Python and Deep Learning.
Language Detection using Mediapipe | Language Classification using Python and Deep Learning.
Text Embedder using Mediapipe | Find cosine similarity between two text samples in Mediapipe.
Text Embedder using Mediapipe | Find cosine similarity between two text samples in Mediapipe.
Text Classification using Mediapipe | Sentiment analysis using Mediapipe
Text Classification using Mediapipe | Sentiment analysis using Mediapipe
Face Stylization using Mediapipe | Color ink, color sketch and oil painting effect in Mediapipe
Face Stylization using Mediapipe | Color ink, color sketch and oil painting effect in Mediapipe
Pose Landmark Detection using Mediapipe | Find the important body landmarks using Mediapipe.
Pose Landmark Detection using Mediapipe | Find the important body landmarks using Mediapipe.
nn.MaxPool2d | PyTorch function fully discussed | kernel_size , ceil_mode , return_indices, dilation
nn.MaxPool2d | PyTorch function fully discussed | kernel_size , ceil_mode , return_indices, dilation
nn.Conv2d | Part - 3 fully discussed | Groups, bias and formula for convolution
nn.Conv2d | Part - 3 fully discussed | Groups, bias and formula for convolution
nn.Conv2d | Part - 2 fully discussed | padding, padding_modes and dilation.
nn.Conv2d | Part - 2 fully discussed | padding, padding_modes and dilation.