|
About the jax category
|
|
0
|
773
|
August 11, 2023
|
|
The Base Classification Model
|
|
1
|
2009
|
August 6, 2024
|
|
Installation
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|
1
|
1987
|
March 21, 2024
|
|
Transformers for Vision
|
|
0
|
2043
|
August 14, 2023
|
|
The Transformer Architecture
|
|
0
|
2026
|
August 14, 2023
|
|
Self-Attention and Positional Encoding
|
|
0
|
2053
|
August 14, 2023
|
|
Multi-Head Attention
|
|
0
|
2001
|
August 14, 2023
|
|
The Bahdanau Attention Mechanism
|
|
0
|
1867
|
August 14, 2023
|
|
Attention Scoring Functions
|
|
0
|
1426
|
August 14, 2023
|
|
Attention Pooling by Similarity
|
|
0
|
1717
|
August 14, 2023
|
|
Queries, Keys, and Values
|
|
0
|
2104
|
August 14, 2023
|
|
Encoder-Decoder Seq2Seq for Machine Translation
|
|
0
|
1504
|
August 14, 2023
|
|
The Encoder-Decoder Architecture
|
|
0
|
1957
|
August 14, 2023
|
|
Machine Translation and the Dataset
|
|
0
|
1436
|
August 14, 2023
|
|
Bidirectional Recurrent Neural Networks
|
|
0
|
1492
|
August 14, 2023
|
|
Deep Recurrent Neural Networks
|
|
0
|
1831
|
August 14, 2023
|
|
Gated Recurrent Units (GRU)
|
|
0
|
1666
|
August 14, 2023
|
|
Long Short-Term Memory (LSTM)
|
|
0
|
2032
|
August 14, 2023
|
|
Concise Implementation of Recurrent Neural Networks
|
|
0
|
1400
|
August 14, 2023
|
|
Recurrent Neural Network Implementation from Scratch
|
|
0
|
2072
|
August 14, 2023
|
|
Recurrent Neural Networks
|
|
0
|
871
|
August 14, 2023
|
|
Language Models
|
|
0
|
1521
|
August 14, 2023
|
|
Converting Raw Text into Sequence Data
|
|
0
|
1512
|
August 14, 2023
|
|
Working with Sequences
|
|
0
|
2056
|
August 14, 2023
|
|
Designing Convolution Network Architectures
|
|
0
|
1507
|
August 14, 2023
|
|
Densely Connected Networks (DenseNet)
|
|
0
|
1480
|
August 14, 2023
|
|
Residual Networks (ResNet) and ResNeXt
|
|
0
|
2002
|
August 14, 2023
|
|
Batch Normalization
|
|
0
|
1718
|
August 14, 2023
|
|
Multi-Branch Networks (GoogLeNet)
|
|
0
|
1869
|
August 14, 2023
|
|
Network in Network (NiN)
|
|
0
|
1572
|
August 14, 2023
|