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About the jax category
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0
|
550
|
August 11, 2023
|
|
The Base Classification Model
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1
|
1517
|
August 6, 2024
|
|
Installation
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|
1
|
1432
|
March 21, 2024
|
|
Transformers for Vision
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|
0
|
1520
|
August 14, 2023
|
|
The Transformer Architecture
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|
0
|
1349
|
August 14, 2023
|
|
Self-Attention and Positional Encoding
|
|
0
|
1410
|
August 14, 2023
|
|
Multi-Head Attention
|
|
0
|
1538
|
August 14, 2023
|
|
The Bahdanau Attention Mechanism
|
|
0
|
1347
|
August 14, 2023
|
|
Attention Scoring Functions
|
|
0
|
930
|
August 14, 2023
|
|
Attention Pooling by Similarity
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|
0
|
1135
|
August 14, 2023
|
|
Queries, Keys, and Values
|
|
0
|
1563
|
August 14, 2023
|
|
Encoder-Decoder Seq2Seq for Machine Translation
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|
0
|
999
|
August 14, 2023
|
|
The Encoder-Decoder Architecture
|
|
0
|
1452
|
August 14, 2023
|
|
Machine Translation and the Dataset
|
|
0
|
934
|
August 14, 2023
|
|
Bidirectional Recurrent Neural Networks
|
|
0
|
1017
|
August 14, 2023
|
|
Deep Recurrent Neural Networks
|
|
0
|
1371
|
August 14, 2023
|
|
Gated Recurrent Units (GRU)
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|
0
|
1116
|
August 14, 2023
|
|
Long Short-Term Memory (LSTM)
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|
0
|
1444
|
August 14, 2023
|
|
Concise Implementation of Recurrent Neural Networks
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|
0
|
890
|
August 14, 2023
|
|
Recurrent Neural Network Implementation from Scratch
|
|
0
|
1541
|
August 14, 2023
|
|
Recurrent Neural Networks
|
|
0
|
591
|
August 14, 2023
|
|
Language Models
|
|
0
|
1037
|
August 14, 2023
|
|
Converting Raw Text into Sequence Data
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|
0
|
1021
|
August 14, 2023
|
|
Working with Sequences
|
|
0
|
1533
|
August 14, 2023
|
|
Designing Convolution Network Architectures
|
|
0
|
917
|
August 14, 2023
|
|
Densely Connected Networks (DenseNet)
|
|
0
|
925
|
August 14, 2023
|
|
Residual Networks (ResNet) and ResNeXt
|
|
0
|
1440
|
August 14, 2023
|
|
Batch Normalization
|
|
0
|
1121
|
August 14, 2023
|
|
Multi-Branch Networks (GoogLeNet)
|
|
0
|
1340
|
August 14, 2023
|
|
Network in Network (NiN)
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|
0
|
1048
|
August 14, 2023
|