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About the jax category
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0
|
783
|
August 11, 2023
|
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The Base Classification Model
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1
|
2035
|
August 6, 2024
|
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Installation
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|
1
|
2030
|
March 21, 2024
|
|
Transformers for Vision
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0
|
2071
|
August 14, 2023
|
|
The Transformer Architecture
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0
|
2061
|
August 14, 2023
|
|
Self-Attention and Positional Encoding
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|
0
|
2095
|
August 14, 2023
|
|
Multi-Head Attention
|
|
0
|
2029
|
August 14, 2023
|
|
The Bahdanau Attention Mechanism
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|
0
|
1901
|
August 14, 2023
|
|
Attention Scoring Functions
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|
0
|
1456
|
August 14, 2023
|
|
Attention Pooling by Similarity
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|
0
|
1749
|
August 14, 2023
|
|
Queries, Keys, and Values
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|
0
|
2142
|
August 14, 2023
|
|
Encoder-Decoder Seq2Seq for Machine Translation
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|
0
|
1558
|
August 14, 2023
|
|
The Encoder-Decoder Architecture
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|
0
|
1995
|
August 14, 2023
|
|
Machine Translation and the Dataset
|
|
0
|
1475
|
August 14, 2023
|
|
Bidirectional Recurrent Neural Networks
|
|
0
|
1524
|
August 14, 2023
|
|
Deep Recurrent Neural Networks
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|
0
|
1872
|
August 14, 2023
|
|
Gated Recurrent Units (GRU)
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|
0
|
1706
|
August 14, 2023
|
|
Long Short-Term Memory (LSTM)
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|
0
|
2074
|
August 14, 2023
|
|
Concise Implementation of Recurrent Neural Networks
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|
0
|
1436
|
August 14, 2023
|
|
Recurrent Neural Network Implementation from Scratch
|
|
0
|
2104
|
August 14, 2023
|
|
Recurrent Neural Networks
|
|
0
|
889
|
August 14, 2023
|
|
Language Models
|
|
0
|
1564
|
August 14, 2023
|
|
Converting Raw Text into Sequence Data
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|
0
|
1542
|
August 14, 2023
|
|
Working with Sequences
|
|
0
|
2090
|
August 14, 2023
|
|
Designing Convolution Network Architectures
|
|
0
|
1536
|
August 14, 2023
|
|
Densely Connected Networks (DenseNet)
|
|
0
|
1516
|
August 14, 2023
|
|
Residual Networks (ResNet) and ResNeXt
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|
0
|
2043
|
August 14, 2023
|
|
Batch Normalization
|
|
0
|
1754
|
August 14, 2023
|
|
Multi-Branch Networks (GoogLeNet)
|
|
0
|
1908
|
August 14, 2023
|
|
Network in Network (NiN)
|
|
0
|
1608
|
August 14, 2023
|