|
About the jax category
|
|
0
|
759
|
August 11, 2023
|
|
The Base Classification Model
|
|
1
|
1977
|
August 6, 2024
|
|
Installation
|
|
1
|
1953
|
March 21, 2024
|
|
Transformers for Vision
|
|
0
|
1997
|
August 14, 2023
|
|
The Transformer Architecture
|
|
0
|
1981
|
August 14, 2023
|
|
Self-Attention and Positional Encoding
|
|
0
|
2012
|
August 14, 2023
|
|
Multi-Head Attention
|
|
0
|
1957
|
August 14, 2023
|
|
The Bahdanau Attention Mechanism
|
|
0
|
1832
|
August 14, 2023
|
|
Attention Scoring Functions
|
|
0
|
1384
|
August 14, 2023
|
|
Attention Pooling by Similarity
|
|
0
|
1677
|
August 14, 2023
|
|
Queries, Keys, and Values
|
|
0
|
2071
|
August 14, 2023
|
|
Encoder-Decoder Seq2Seq for Machine Translation
|
|
0
|
1460
|
August 14, 2023
|
|
The Encoder-Decoder Architecture
|
|
0
|
1913
|
August 14, 2023
|
|
Machine Translation and the Dataset
|
|
0
|
1393
|
August 14, 2023
|
|
Bidirectional Recurrent Neural Networks
|
|
0
|
1447
|
August 14, 2023
|
|
Deep Recurrent Neural Networks
|
|
0
|
1784
|
August 14, 2023
|
|
Gated Recurrent Units (GRU)
|
|
0
|
1612
|
August 14, 2023
|
|
Long Short-Term Memory (LSTM)
|
|
0
|
1983
|
August 14, 2023
|
|
Concise Implementation of Recurrent Neural Networks
|
|
0
|
1354
|
August 14, 2023
|
|
Recurrent Neural Network Implementation from Scratch
|
|
0
|
2028
|
August 14, 2023
|
|
Recurrent Neural Networks
|
|
0
|
837
|
August 14, 2023
|
|
Language Models
|
|
0
|
1471
|
August 14, 2023
|
|
Converting Raw Text into Sequence Data
|
|
0
|
1475
|
August 14, 2023
|
|
Working with Sequences
|
|
0
|
2018
|
August 14, 2023
|
|
Designing Convolution Network Architectures
|
|
0
|
1467
|
August 14, 2023
|
|
Densely Connected Networks (DenseNet)
|
|
0
|
1442
|
August 14, 2023
|
|
Residual Networks (ResNet) and ResNeXt
|
|
0
|
1952
|
August 14, 2023
|
|
Batch Normalization
|
|
0
|
1679
|
August 14, 2023
|
|
Multi-Branch Networks (GoogLeNet)
|
|
0
|
1825
|
August 14, 2023
|
|
Network in Network (NiN)
|
|
0
|
1536
|
August 14, 2023
|