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About the jax category
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0
|
452
|
August 11, 2023
|
|
The Base Classification Model
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1
|
1321
|
August 6, 2024
|
|
Installation
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|
1
|
1174
|
March 21, 2024
|
|
Transformers for Vision
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|
0
|
1316
|
August 14, 2023
|
|
The Transformer Architecture
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0
|
1163
|
August 14, 2023
|
|
Self-Attention and Positional Encoding
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|
0
|
1215
|
August 14, 2023
|
|
Multi-Head Attention
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|
0
|
1318
|
August 14, 2023
|
|
The Bahdanau Attention Mechanism
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|
0
|
1166
|
August 14, 2023
|
|
Attention Scoring Functions
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|
0
|
757
|
August 14, 2023
|
|
Attention Pooling by Similarity
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|
0
|
931
|
August 14, 2023
|
|
Queries, Keys, and Values
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|
0
|
1372
|
August 14, 2023
|
|
Encoder-Decoder Seq2Seq for Machine Translation
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|
0
|
826
|
August 14, 2023
|
|
The Encoder-Decoder Architecture
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|
0
|
1247
|
August 14, 2023
|
|
Machine Translation and the Dataset
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|
0
|
761
|
August 14, 2023
|
|
Bidirectional Recurrent Neural Networks
|
|
0
|
825
|
August 14, 2023
|
|
Deep Recurrent Neural Networks
|
|
0
|
1195
|
August 14, 2023
|
|
Gated Recurrent Units (GRU)
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|
0
|
950
|
August 14, 2023
|
|
Long Short-Term Memory (LSTM)
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|
0
|
1234
|
August 14, 2023
|
|
Concise Implementation of Recurrent Neural Networks
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|
0
|
745
|
August 14, 2023
|
|
Recurrent Neural Network Implementation from Scratch
|
|
0
|
1345
|
August 14, 2023
|
|
Recurrent Neural Networks
|
|
0
|
497
|
August 14, 2023
|
|
Language Models
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|
0
|
826
|
August 14, 2023
|
|
Converting Raw Text into Sequence Data
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|
0
|
856
|
August 14, 2023
|
|
Working with Sequences
|
|
0
|
1342
|
August 14, 2023
|
|
Designing Convolution Network Architectures
|
|
0
|
747
|
August 14, 2023
|
|
Densely Connected Networks (DenseNet)
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|
0
|
745
|
August 14, 2023
|
|
Residual Networks (ResNet) and ResNeXt
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|
0
|
1240
|
August 14, 2023
|
|
Batch Normalization
|
|
0
|
885
|
August 14, 2023
|
|
Multi-Branch Networks (GoogLeNet)
|
|
0
|
1151
|
August 14, 2023
|
|
Network in Network (NiN)
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|
0
|
843
|
August 14, 2023
|