1.53 GB | 21min 59s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 Introduction to Tokenization.mp4 (70.67 MB)
2 Tokenization in Depth.mp4 (56.58 MB)
3 Encoding Tokens.mp4 (58.3 MB)
4 Programatically Understanding Tokenizations.mp4 (70.89 MB)
5 BERT vs DistilBERT.mp4 (22.1 MB)
6 Embeddings in a Continuous Vector Space.mp4 (34.79 MB)
1 Introduction to Positional Encodings.mp4 (24.95 MB)
2 How Positional Encodings Work.mp4 (23.53 MB)
3 Understanding Even and Odd Indicies with Positional Encodings.mp4 (55.15 MB)
4 Why we Use Sine and Cosine Functions for Positional Encodings.mp4 (28.68 MB)
5 Understanding the Nature of Sine and Cosine Functions.mp4 (63.83 MB)
6 Visualizing Positional Encodings in Sine and Cosine Graphs.mp4 (65.71 MB)
7 Solving the Equations to get the Positional Encodings.mp4 (103.28 MB)
1 Introduction to Attention Mechanisms.mp4 (14.03 MB)
10 Normalisation and Scaling.mp4 (18.39 MB)
11 Understanding the Value Matrix and Value Vector.mp4 (55.95 MB)
12 Calculating the Final Context Aware Rich Representation for the word river.mp4 (71.76 MB)
13 Understanding the Output.mp4 (12.87 MB)
14 Understanding Multi Head Attention.mp4 (75.32 MB)
15 Multi Head Attention Example, and Subsequent layers.mp4 (68.62 MB)
16 Masked Language Modeling.mp4 (4.88 MB)
2 Query, Key, and Value Matrix.mp4 (88.11 MB)
3 Getting started with our Step by Step Attention Calculation.mp4 (29.72 MB)
4 Calculating Key Vectors.mp4 (115.84 MB)
5 Query Matrix Introduction.mp4 (58.44 MB)
6 Calculating Raw Attention Scores.mp4 (117.03 MB)
7 Understanding the Mathematics behind Dot products and Vector Alignment.mp4 (74.5 MB)
8 Visualising Raw Attention Scores in 2 Dimensions.mp4 (28.05 MB)
9 Converting Raw Attention Scores to Probability Distributions with Softmax.mp4 (57.65 MB)
2 Tokenization in Depth.mp4 (56.58 MB)
3 Encoding Tokens.mp4 (58.3 MB)
4 Programatically Understanding Tokenizations.mp4 (70.89 MB)
5 BERT vs DistilBERT.mp4 (22.1 MB)
6 Embeddings in a Continuous Vector Space.mp4 (34.79 MB)
1 Introduction to Positional Encodings.mp4 (24.95 MB)
2 How Positional Encodings Work.mp4 (23.53 MB)
3 Understanding Even and Odd Indicies with Positional Encodings.mp4 (55.15 MB)
4 Why we Use Sine and Cosine Functions for Positional Encodings.mp4 (28.68 MB)
5 Understanding the Nature of Sine and Cosine Functions.mp4 (63.83 MB)
6 Visualizing Positional Encodings in Sine and Cosine Graphs.mp4 (65.71 MB)
7 Solving the Equations to get the Positional Encodings.mp4 (103.28 MB)
1 Introduction to Attention Mechanisms.mp4 (14.03 MB)
10 Normalisation and Scaling.mp4 (18.39 MB)
11 Understanding the Value Matrix and Value Vector.mp4 (55.95 MB)
12 Calculating the Final Context Aware Rich Representation for the word river.mp4 (71.76 MB)
13 Understanding the Output.mp4 (12.87 MB)
14 Understanding Multi Head Attention.mp4 (75.32 MB)
15 Multi Head Attention Example, and Subsequent layers.mp4 (68.62 MB)
16 Masked Language Modeling.mp4 (4.88 MB)
2 Query, Key, and Value Matrix.mp4 (88.11 MB)
3 Getting started with our Step by Step Attention Calculation.mp4 (29.72 MB)
4 Calculating Key Vectors.mp4 (115.84 MB)
5 Query Matrix Introduction.mp4 (58.44 MB)
6 Calculating Raw Attention Scores.mp4 (117.03 MB)
7 Understanding the Mathematics behind Dot products and Vector Alignment.mp4 (74.5 MB)
8 Visualising Raw Attention Scores in 2 Dimensions.mp4 (28.05 MB)
9 Converting Raw Attention Scores to Probability Distributions with Softmax.mp4 (57.65 MB)
Screenshot
Code:
Bitte
Anmelden
oder
Registrieren
um Code Inhalt zu sehen!
Code:
Bitte
Anmelden
oder
Registrieren
um Code Inhalt zu sehen!
Code:
Bitte
Anmelden
oder
Registrieren
um Code Inhalt zu sehen!