|
About the jax category
|
|
0
|
761
|
August 11, 2023
|
|
The Base Classification Model
|
|
1
|
1980
|
August 6, 2024
|
|
Installation
|
|
1
|
1955
|
March 21, 2024
|
|
Transformers for Vision
|
|
0
|
2000
|
August 14, 2023
|
|
The Transformer Architecture
|
|
0
|
1986
|
August 14, 2023
|
|
Self-Attention and Positional Encoding
|
|
0
|
2015
|
August 14, 2023
|
|
Multi-Head Attention
|
|
0
|
1962
|
August 14, 2023
|
|
The Bahdanau Attention Mechanism
|
|
0
|
1836
|
August 14, 2023
|
|
Attention Scoring Functions
|
|
0
|
1388
|
August 14, 2023
|
|
Attention Pooling by Similarity
|
|
0
|
1682
|
August 14, 2023
|
|
Queries, Keys, and Values
|
|
0
|
2075
|
August 14, 2023
|
|
Encoder-Decoder Seq2Seq for Machine Translation
|
|
0
|
1463
|
August 14, 2023
|
|
The Encoder-Decoder Architecture
|
|
0
|
1916
|
August 14, 2023
|
|
Machine Translation and the Dataset
|
|
0
|
1397
|
August 14, 2023
|
|
Bidirectional Recurrent Neural Networks
|
|
0
|
1450
|
August 14, 2023
|
|
Deep Recurrent Neural Networks
|
|
0
|
1789
|
August 14, 2023
|
|
Gated Recurrent Units (GRU)
|
|
0
|
1619
|
August 14, 2023
|
|
Long Short-Term Memory (LSTM)
|
|
0
|
1986
|
August 14, 2023
|
|
Concise Implementation of Recurrent Neural Networks
|
|
0
|
1357
|
August 14, 2023
|
|
Recurrent Neural Network Implementation from Scratch
|
|
0
|
2033
|
August 14, 2023
|
|
Recurrent Neural Networks
|
|
0
|
842
|
August 14, 2023
|
|
Language Models
|
|
0
|
1477
|
August 14, 2023
|
|
Converting Raw Text into Sequence Data
|
|
0
|
1478
|
August 14, 2023
|
|
Working with Sequences
|
|
0
|
2022
|
August 14, 2023
|
|
Designing Convolution Network Architectures
|
|
0
|
1469
|
August 14, 2023
|
|
Densely Connected Networks (DenseNet)
|
|
0
|
1445
|
August 14, 2023
|
|
Residual Networks (ResNet) and ResNeXt
|
|
0
|
1956
|
August 14, 2023
|
|
Batch Normalization
|
|
0
|
1683
|
August 14, 2023
|
|
Multi-Branch Networks (GoogLeNet)
|
|
0
|
1829
|
August 14, 2023
|
|
Network in Network (NiN)
|
|
0
|
1538
|
August 14, 2023
|