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About the jax category
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0
|
566
|
August 11, 2023
|
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The Base Classification Model
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|
1
|
1554
|
August 6, 2024
|
|
Installation
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|
1
|
1488
|
March 21, 2024
|
|
Transformers for Vision
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|
0
|
1557
|
August 14, 2023
|
|
The Transformer Architecture
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|
0
|
1390
|
August 14, 2023
|
|
Self-Attention and Positional Encoding
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|
0
|
1450
|
August 14, 2023
|
|
Multi-Head Attention
|
|
0
|
1576
|
August 14, 2023
|
|
The Bahdanau Attention Mechanism
|
|
0
|
1378
|
August 14, 2023
|
|
Attention Scoring Functions
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|
0
|
968
|
August 14, 2023
|
|
Attention Pooling by Similarity
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|
0
|
1167
|
August 14, 2023
|
|
Queries, Keys, and Values
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|
0
|
1597
|
August 14, 2023
|
|
Encoder-Decoder Seq2Seq for Machine Translation
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|
0
|
1028
|
August 14, 2023
|
|
The Encoder-Decoder Architecture
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|
0
|
1491
|
August 14, 2023
|
|
Machine Translation and the Dataset
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|
0
|
969
|
August 14, 2023
|
|
Bidirectional Recurrent Neural Networks
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|
0
|
1061
|
August 14, 2023
|
|
Deep Recurrent Neural Networks
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|
0
|
1400
|
August 14, 2023
|
|
Gated Recurrent Units (GRU)
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|
0
|
1160
|
August 14, 2023
|
|
Long Short-Term Memory (LSTM)
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|
0
|
1488
|
August 14, 2023
|
|
Concise Implementation of Recurrent Neural Networks
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|
0
|
934
|
August 14, 2023
|
|
Recurrent Neural Network Implementation from Scratch
|
|
0
|
1584
|
August 14, 2023
|
|
Recurrent Neural Networks
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|
0
|
613
|
August 14, 2023
|
|
Language Models
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|
0
|
1083
|
August 14, 2023
|
|
Converting Raw Text into Sequence Data
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|
0
|
1058
|
August 14, 2023
|
|
Working with Sequences
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|
0
|
1571
|
August 14, 2023
|
|
Designing Convolution Network Architectures
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|
0
|
957
|
August 14, 2023
|
|
Densely Connected Networks (DenseNet)
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|
0
|
957
|
August 14, 2023
|
|
Residual Networks (ResNet) and ResNeXt
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|
0
|
1483
|
August 14, 2023
|
|
Batch Normalization
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|
0
|
1158
|
August 14, 2023
|
|
Multi-Branch Networks (GoogLeNet)
|
|
0
|
1377
|
August 14, 2023
|
|
Network in Network (NiN)
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|
0
|
1087
|
August 14, 2023
|