|
About the jax category
|
|
0
|
766
|
August 11, 2023
|
|
The Base Classification Model
|
|
1
|
1982
|
August 6, 2024
|
|
Installation
|
|
1
|
1956
|
March 21, 2024
|
|
Transformers for Vision
|
|
0
|
2001
|
August 14, 2023
|
|
The Transformer Architecture
|
|
0
|
1988
|
August 14, 2023
|
|
Self-Attention and Positional Encoding
|
|
0
|
2017
|
August 14, 2023
|
|
Multi-Head Attention
|
|
0
|
1963
|
August 14, 2023
|
|
The Bahdanau Attention Mechanism
|
|
0
|
1838
|
August 14, 2023
|
|
Attention Scoring Functions
|
|
0
|
1390
|
August 14, 2023
|
|
Attention Pooling by Similarity
|
|
0
|
1683
|
August 14, 2023
|
|
Queries, Keys, and Values
|
|
0
|
2077
|
August 14, 2023
|
|
Encoder-Decoder Seq2Seq for Machine Translation
|
|
0
|
1465
|
August 14, 2023
|
|
The Encoder-Decoder Architecture
|
|
0
|
1918
|
August 14, 2023
|
|
Machine Translation and the Dataset
|
|
0
|
1398
|
August 14, 2023
|
|
Bidirectional Recurrent Neural Networks
|
|
0
|
1455
|
August 14, 2023
|
|
Deep Recurrent Neural Networks
|
|
0
|
1790
|
August 14, 2023
|
|
Gated Recurrent Units (GRU)
|
|
0
|
1623
|
August 14, 2023
|
|
Long Short-Term Memory (LSTM)
|
|
0
|
1988
|
August 14, 2023
|
|
Concise Implementation of Recurrent Neural Networks
|
|
0
|
1364
|
August 14, 2023
|
|
Recurrent Neural Network Implementation from Scratch
|
|
0
|
2034
|
August 14, 2023
|
|
Recurrent Neural Networks
|
|
0
|
845
|
August 14, 2023
|
|
Language Models
|
|
0
|
1479
|
August 14, 2023
|
|
Converting Raw Text into Sequence Data
|
|
0
|
1480
|
August 14, 2023
|
|
Working with Sequences
|
|
0
|
2024
|
August 14, 2023
|
|
Designing Convolution Network Architectures
|
|
0
|
1469
|
August 14, 2023
|
|
Densely Connected Networks (DenseNet)
|
|
0
|
1447
|
August 14, 2023
|
|
Residual Networks (ResNet) and ResNeXt
|
|
0
|
1961
|
August 14, 2023
|
|
Batch Normalization
|
|
0
|
1685
|
August 14, 2023
|
|
Multi-Branch Networks (GoogLeNet)
|
|
0
|
1830
|
August 14, 2023
|
|
Network in Network (NiN)
|
|
0
|
1541
|
August 14, 2023
|