|
About the jax category
|
|
0
|
776
|
August 11, 2023
|
|
The Base Classification Model
|
|
1
|
2016
|
August 6, 2024
|
|
Installation
|
|
1
|
2008
|
March 21, 2024
|
|
Transformers for Vision
|
|
0
|
2055
|
August 14, 2023
|
|
The Transformer Architecture
|
|
0
|
2037
|
August 14, 2023
|
|
Self-Attention and Positional Encoding
|
|
0
|
2066
|
August 14, 2023
|
|
Multi-Head Attention
|
|
0
|
2009
|
August 14, 2023
|
|
The Bahdanau Attention Mechanism
|
|
0
|
1878
|
August 14, 2023
|
|
Attention Scoring Functions
|
|
0
|
1435
|
August 14, 2023
|
|
Attention Pooling by Similarity
|
|
0
|
1730
|
August 14, 2023
|
|
Queries, Keys, and Values
|
|
0
|
2119
|
August 14, 2023
|
|
Encoder-Decoder Seq2Seq for Machine Translation
|
|
0
|
1526
|
August 14, 2023
|
|
The Encoder-Decoder Architecture
|
|
0
|
1973
|
August 14, 2023
|
|
Machine Translation and the Dataset
|
|
0
|
1448
|
August 14, 2023
|
|
Bidirectional Recurrent Neural Networks
|
|
0
|
1505
|
August 14, 2023
|
|
Deep Recurrent Neural Networks
|
|
0
|
1846
|
August 14, 2023
|
|
Gated Recurrent Units (GRU)
|
|
0
|
1678
|
August 14, 2023
|
|
Long Short-Term Memory (LSTM)
|
|
0
|
2045
|
August 14, 2023
|
|
Concise Implementation of Recurrent Neural Networks
|
|
0
|
1412
|
August 14, 2023
|
|
Recurrent Neural Network Implementation from Scratch
|
|
0
|
2080
|
August 14, 2023
|
|
Recurrent Neural Networks
|
|
0
|
876
|
August 14, 2023
|
|
Language Models
|
|
0
|
1532
|
August 14, 2023
|
|
Converting Raw Text into Sequence Data
|
|
0
|
1522
|
August 14, 2023
|
|
Working with Sequences
|
|
0
|
2065
|
August 14, 2023
|
|
Designing Convolution Network Architectures
|
|
0
|
1515
|
August 14, 2023
|
|
Densely Connected Networks (DenseNet)
|
|
0
|
1493
|
August 14, 2023
|
|
Residual Networks (ResNet) and ResNeXt
|
|
0
|
2023
|
August 14, 2023
|
|
Batch Normalization
|
|
0
|
1728
|
August 14, 2023
|
|
Multi-Branch Networks (GoogLeNet)
|
|
0
|
1881
|
August 14, 2023
|
|
Network in Network (NiN)
|
|
0
|
1579
|
August 14, 2023
|