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About the jax category
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0
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653
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August 11, 2023
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The Base Classification Model
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1
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1758
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August 6, 2024
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Installation
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1
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1713
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March 21, 2024
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Transformers for Vision
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0
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1793
|
August 14, 2023
|
|
The Transformer Architecture
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0
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1704
|
August 14, 2023
|
|
Self-Attention and Positional Encoding
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0
|
1779
|
August 14, 2023
|
|
Multi-Head Attention
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0
|
1766
|
August 14, 2023
|
|
The Bahdanau Attention Mechanism
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0
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1616
|
August 14, 2023
|
|
Attention Scoring Functions
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|
0
|
1168
|
August 14, 2023
|
|
Attention Pooling by Similarity
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0
|
1435
|
August 14, 2023
|
|
Queries, Keys, and Values
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|
0
|
1842
|
August 14, 2023
|
|
Encoder-Decoder Seq2Seq for Machine Translation
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0
|
1260
|
August 14, 2023
|
|
The Encoder-Decoder Architecture
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0
|
1688
|
August 14, 2023
|
|
Machine Translation and the Dataset
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0
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1179
|
August 14, 2023
|
|
Bidirectional Recurrent Neural Networks
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0
|
1247
|
August 14, 2023
|
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Deep Recurrent Neural Networks
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0
|
1589
|
August 14, 2023
|
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Gated Recurrent Units (GRU)
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0
|
1367
|
August 14, 2023
|
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Long Short-Term Memory (LSTM)
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0
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1713
|
August 14, 2023
|
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Concise Implementation of Recurrent Neural Networks
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|
0
|
1152
|
August 14, 2023
|
|
Recurrent Neural Network Implementation from Scratch
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|
0
|
1814
|
August 14, 2023
|
|
Recurrent Neural Networks
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|
0
|
721
|
August 14, 2023
|
|
Language Models
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|
0
|
1274
|
August 14, 2023
|
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Converting Raw Text into Sequence Data
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|
0
|
1260
|
August 14, 2023
|
|
Working with Sequences
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|
0
|
1790
|
August 14, 2023
|
|
Designing Convolution Network Architectures
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|
0
|
1230
|
August 14, 2023
|
|
Densely Connected Networks (DenseNet)
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0
|
1222
|
August 14, 2023
|
|
Residual Networks (ResNet) and ResNeXt
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0
|
1736
|
August 14, 2023
|
|
Batch Normalization
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|
0
|
1433
|
August 14, 2023
|
|
Multi-Branch Networks (GoogLeNet)
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|
0
|
1605
|
August 14, 2023
|
|
Network in Network (NiN)
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|
0
|
1326
|
August 14, 2023
|