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About the jax category
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|
0
|
459
|
August 11, 2023
|
|
The Base Classification Model
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1
|
1332
|
August 6, 2024
|
|
Installation
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|
1
|
1192
|
March 21, 2024
|
|
Transformers for Vision
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|
0
|
1327
|
August 14, 2023
|
|
The Transformer Architecture
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|
0
|
1173
|
August 14, 2023
|
|
Self-Attention and Positional Encoding
|
|
0
|
1228
|
August 14, 2023
|
|
Multi-Head Attention
|
|
0
|
1334
|
August 14, 2023
|
|
The Bahdanau Attention Mechanism
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|
0
|
1177
|
August 14, 2023
|
|
Attention Scoring Functions
|
|
0
|
770
|
August 14, 2023
|
|
Attention Pooling by Similarity
|
|
0
|
945
|
August 14, 2023
|
|
Queries, Keys, and Values
|
|
0
|
1383
|
August 14, 2023
|
|
Encoder-Decoder Seq2Seq for Machine Translation
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|
0
|
836
|
August 14, 2023
|
|
The Encoder-Decoder Architecture
|
|
0
|
1261
|
August 14, 2023
|
|
Machine Translation and the Dataset
|
|
0
|
771
|
August 14, 2023
|
|
Bidirectional Recurrent Neural Networks
|
|
0
|
840
|
August 14, 2023
|
|
Deep Recurrent Neural Networks
|
|
0
|
1206
|
August 14, 2023
|
|
Gated Recurrent Units (GRU)
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|
0
|
959
|
August 14, 2023
|
|
Long Short-Term Memory (LSTM)
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|
0
|
1246
|
August 14, 2023
|
|
Concise Implementation of Recurrent Neural Networks
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|
0
|
755
|
August 14, 2023
|
|
Recurrent Neural Network Implementation from Scratch
|
|
0
|
1358
|
August 14, 2023
|
|
Recurrent Neural Networks
|
|
0
|
506
|
August 14, 2023
|
|
Language Models
|
|
0
|
839
|
August 14, 2023
|
|
Converting Raw Text into Sequence Data
|
|
0
|
869
|
August 14, 2023
|
|
Working with Sequences
|
|
0
|
1355
|
August 14, 2023
|
|
Designing Convolution Network Architectures
|
|
0
|
760
|
August 14, 2023
|
|
Densely Connected Networks (DenseNet)
|
|
0
|
759
|
August 14, 2023
|
|
Residual Networks (ResNet) and ResNeXt
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|
0
|
1252
|
August 14, 2023
|
|
Batch Normalization
|
|
0
|
895
|
August 14, 2023
|
|
Multi-Branch Networks (GoogLeNet)
|
|
0
|
1160
|
August 14, 2023
|
|
Network in Network (NiN)
|
|
0
|
853
|
August 14, 2023
|