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About the jax category
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0
|
630
|
August 11, 2023
|
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The Base Classification Model
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1
|
1698
|
August 6, 2024
|
|
Installation
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|
1
|
1672
|
March 21, 2024
|
|
Transformers for Vision
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0
|
1723
|
August 14, 2023
|
|
The Transformer Architecture
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0
|
1616
|
August 14, 2023
|
|
Self-Attention and Positional Encoding
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|
0
|
1688
|
August 14, 2023
|
|
Multi-Head Attention
|
|
0
|
1731
|
August 14, 2023
|
|
The Bahdanau Attention Mechanism
|
|
0
|
1540
|
August 14, 2023
|
|
Attention Scoring Functions
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|
0
|
1108
|
August 14, 2023
|
|
Attention Pooling by Similarity
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|
0
|
1326
|
August 14, 2023
|
|
Queries, Keys, and Values
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|
0
|
1765
|
August 14, 2023
|
|
Encoder-Decoder Seq2Seq for Machine Translation
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|
0
|
1183
|
August 14, 2023
|
|
The Encoder-Decoder Architecture
|
|
0
|
1641
|
August 14, 2023
|
|
Machine Translation and the Dataset
|
|
0
|
1109
|
August 14, 2023
|
|
Bidirectional Recurrent Neural Networks
|
|
0
|
1203
|
August 14, 2023
|
|
Deep Recurrent Neural Networks
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|
0
|
1542
|
August 14, 2023
|
|
Gated Recurrent Units (GRU)
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|
0
|
1304
|
August 14, 2023
|
|
Long Short-Term Memory (LSTM)
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|
0
|
1636
|
August 14, 2023
|
|
Concise Implementation of Recurrent Neural Networks
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|
0
|
1096
|
August 14, 2023
|
|
Recurrent Neural Network Implementation from Scratch
|
|
0
|
1739
|
August 14, 2023
|
|
Recurrent Neural Networks
|
|
0
|
695
|
August 14, 2023
|
|
Language Models
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|
0
|
1220
|
August 14, 2023
|
|
Converting Raw Text into Sequence Data
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|
0
|
1204
|
August 14, 2023
|
|
Working with Sequences
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|
0
|
1722
|
August 14, 2023
|
|
Designing Convolution Network Architectures
|
|
0
|
1112
|
August 14, 2023
|
|
Densely Connected Networks (DenseNet)
|
|
0
|
1098
|
August 14, 2023
|
|
Residual Networks (ResNet) and ResNeXt
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|
0
|
1663
|
August 14, 2023
|
|
Batch Normalization
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|
0
|
1356
|
August 14, 2023
|
|
Multi-Branch Networks (GoogLeNet)
|
|
0
|
1535
|
August 14, 2023
|
|
Network in Network (NiN)
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|
0
|
1244
|
August 14, 2023
|