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About the jax category
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0
|
508
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August 11, 2023
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The Base Classification Model
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1
|
1430
|
August 6, 2024
|
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Installation
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|
1
|
1319
|
March 21, 2024
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|
Transformers for Vision
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0
|
1423
|
August 14, 2023
|
|
The Transformer Architecture
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0
|
1254
|
August 14, 2023
|
|
Self-Attention and Positional Encoding
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0
|
1323
|
August 14, 2023
|
|
Multi-Head Attention
|
|
0
|
1427
|
August 14, 2023
|
|
The Bahdanau Attention Mechanism
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|
0
|
1255
|
August 14, 2023
|
|
Attention Scoring Functions
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|
0
|
855
|
August 14, 2023
|
|
Attention Pooling by Similarity
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|
0
|
1041
|
August 14, 2023
|
|
Queries, Keys, and Values
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|
0
|
1473
|
August 14, 2023
|
|
Encoder-Decoder Seq2Seq for Machine Translation
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|
0
|
920
|
August 14, 2023
|
|
The Encoder-Decoder Architecture
|
|
0
|
1359
|
August 14, 2023
|
|
Machine Translation and the Dataset
|
|
0
|
854
|
August 14, 2023
|
|
Bidirectional Recurrent Neural Networks
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|
0
|
934
|
August 14, 2023
|
|
Deep Recurrent Neural Networks
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|
0
|
1290
|
August 14, 2023
|
|
Gated Recurrent Units (GRU)
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|
0
|
1035
|
August 14, 2023
|
|
Long Short-Term Memory (LSTM)
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|
0
|
1347
|
August 14, 2023
|
|
Concise Implementation of Recurrent Neural Networks
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|
0
|
827
|
August 14, 2023
|
|
Recurrent Neural Network Implementation from Scratch
|
|
0
|
1455
|
August 14, 2023
|
|
Recurrent Neural Networks
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|
0
|
550
|
August 14, 2023
|
|
Language Models
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|
0
|
938
|
August 14, 2023
|
|
Converting Raw Text into Sequence Data
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|
0
|
943
|
August 14, 2023
|
|
Working with Sequences
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|
0
|
1448
|
August 14, 2023
|
|
Designing Convolution Network Architectures
|
|
0
|
849
|
August 14, 2023
|
|
Densely Connected Networks (DenseNet)
|
|
0
|
844
|
August 14, 2023
|
|
Residual Networks (ResNet) and ResNeXt
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|
0
|
1347
|
August 14, 2023
|
|
Batch Normalization
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|
0
|
1016
|
August 14, 2023
|
|
Multi-Branch Networks (GoogLeNet)
|
|
0
|
1257
|
August 14, 2023
|
|
Network in Network (NiN)
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|
0
|
968
|
August 14, 2023
|