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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
|
1696
|
August 6, 2024
|
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Installation
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|
1
|
1667
|
March 21, 2024
|
|
Transformers for Vision
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0
|
1718
|
August 14, 2023
|
|
The Transformer Architecture
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|
0
|
1615
|
August 14, 2023
|
|
Self-Attention and Positional Encoding
|
|
0
|
1685
|
August 14, 2023
|
|
Multi-Head Attention
|
|
0
|
1728
|
August 14, 2023
|
|
The Bahdanau Attention Mechanism
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|
0
|
1537
|
August 14, 2023
|
|
Attention Scoring Functions
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|
0
|
1106
|
August 14, 2023
|
|
Attention Pooling by Similarity
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|
0
|
1324
|
August 14, 2023
|
|
Queries, Keys, and Values
|
|
0
|
1763
|
August 14, 2023
|
|
Encoder-Decoder Seq2Seq for Machine Translation
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|
0
|
1180
|
August 14, 2023
|
|
The Encoder-Decoder Architecture
|
|
0
|
1638
|
August 14, 2023
|
|
Machine Translation and the Dataset
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|
0
|
1106
|
August 14, 2023
|
|
Bidirectional Recurrent Neural Networks
|
|
0
|
1201
|
August 14, 2023
|
|
Deep Recurrent Neural Networks
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|
0
|
1536
|
August 14, 2023
|
|
Gated Recurrent Units (GRU)
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|
0
|
1300
|
August 14, 2023
|
|
Long Short-Term Memory (LSTM)
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|
0
|
1633
|
August 14, 2023
|
|
Concise Implementation of Recurrent Neural Networks
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|
0
|
1092
|
August 14, 2023
|
|
Recurrent Neural Network Implementation from Scratch
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|
0
|
1737
|
August 14, 2023
|
|
Recurrent Neural Networks
|
|
0
|
693
|
August 14, 2023
|
|
Language Models
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|
0
|
1216
|
August 14, 2023
|
|
Converting Raw Text into Sequence Data
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|
0
|
1203
|
August 14, 2023
|
|
Working with Sequences
|
|
0
|
1718
|
August 14, 2023
|
|
Designing Convolution Network Architectures
|
|
0
|
1110
|
August 14, 2023
|
|
Densely Connected Networks (DenseNet)
|
|
0
|
1093
|
August 14, 2023
|
|
Residual Networks (ResNet) and ResNeXt
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|
0
|
1658
|
August 14, 2023
|
|
Batch Normalization
|
|
0
|
1351
|
August 14, 2023
|
|
Multi-Branch Networks (GoogLeNet)
|
|
0
|
1533
|
August 14, 2023
|
|
Network in Network (NiN)
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|
0
|
1240
|
August 14, 2023
|