|
About the jax category
|
|
0
|
771
|
August 11, 2023
|
|
The Base Classification Model
|
|
1
|
2005
|
August 6, 2024
|
|
Installation
|
|
1
|
1982
|
March 21, 2024
|
|
Transformers for Vision
|
|
0
|
2035
|
August 14, 2023
|
|
The Transformer Architecture
|
|
0
|
2019
|
August 14, 2023
|
|
Self-Attention and Positional Encoding
|
|
0
|
2044
|
August 14, 2023
|
|
Multi-Head Attention
|
|
0
|
1994
|
August 14, 2023
|
|
The Bahdanau Attention Mechanism
|
|
0
|
1863
|
August 14, 2023
|
|
Attention Scoring Functions
|
|
0
|
1418
|
August 14, 2023
|
|
Attention Pooling by Similarity
|
|
0
|
1714
|
August 14, 2023
|
|
Queries, Keys, and Values
|
|
0
|
2101
|
August 14, 2023
|
|
Encoder-Decoder Seq2Seq for Machine Translation
|
|
0
|
1494
|
August 14, 2023
|
|
The Encoder-Decoder Architecture
|
|
0
|
1950
|
August 14, 2023
|
|
Machine Translation and the Dataset
|
|
0
|
1427
|
August 14, 2023
|
|
Bidirectional Recurrent Neural Networks
|
|
0
|
1483
|
August 14, 2023
|
|
Deep Recurrent Neural Networks
|
|
0
|
1821
|
August 14, 2023
|
|
Gated Recurrent Units (GRU)
|
|
0
|
1654
|
August 14, 2023
|
|
Long Short-Term Memory (LSTM)
|
|
0
|
2020
|
August 14, 2023
|
|
Concise Implementation of Recurrent Neural Networks
|
|
0
|
1391
|
August 14, 2023
|
|
Recurrent Neural Network Implementation from Scratch
|
|
0
|
2067
|
August 14, 2023
|
|
Recurrent Neural Networks
|
|
0
|
865
|
August 14, 2023
|
|
Language Models
|
|
0
|
1513
|
August 14, 2023
|
|
Converting Raw Text into Sequence Data
|
|
0
|
1503
|
August 14, 2023
|
|
Working with Sequences
|
|
0
|
2051
|
August 14, 2023
|
|
Designing Convolution Network Architectures
|
|
0
|
1494
|
August 14, 2023
|
|
Densely Connected Networks (DenseNet)
|
|
0
|
1475
|
August 14, 2023
|
|
Residual Networks (ResNet) and ResNeXt
|
|
0
|
1993
|
August 14, 2023
|
|
Batch Normalization
|
|
0
|
1713
|
August 14, 2023
|
|
Multi-Branch Networks (GoogLeNet)
|
|
0
|
1861
|
August 14, 2023
|
|
Network in Network (NiN)
|
|
0
|
1566
|
August 14, 2023
|