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SMAI-Assignment-3-Q4-MNIST-CNN
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Runs
4
Name
4 visualized
nodropout-epochs-10-batch_size-64-lr-0.001
nodropout-epochs-10-batch_size-64-lr-0.001
epochs-10-batch_size-16-lr-0.01
epochs-10-batch_size-16-lr-0.01
epochs-10-batch_size-32-lr-0.0001
epochs-10-batch_size-32-lr-0.0001
epochs-10-batch_size-64-lr-0.001
epochs-10-batch_size-64-lr-0.001
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4
1-4 of 4
Val Loss
Val Loss
0
2
4
6
8
Step
0.04
0.06
0.08
0.1
0.12
0.14
0.16
0.18
nodropout-epochs-10-batch_size-64-lr-0.001
epochs-10-batch_size-16-lr-0.01
epochs-10-batch_size-32-lr-0.0001
epochs-10-batch_size-64-lr-0.001
Train Accuracy
Train Accuracy
0
2
4
6
8
Step
86
88
90
92
94
96
98
nodropout-epochs-10-batch_size-64-lr-0.001
epochs-10-batch_size-16-lr-0.01
epochs-10-batch_size-32-lr-0.0001
epochs-10-batch_size-64-lr-0.001
Train Loss
Train Loss
0
2
4
6
8
Step
0.1
0.2
0.3
0.4
0.5
nodropout-epochs-10-batch_size-64-lr-0.001
epochs-10-batch_size-16-lr-0.01
epochs-10-batch_size-32-lr-0.0001
epochs-10-batch_size-64-lr-0.001
Val Accuracy
Val Accuracy
0
2
4
6
8
Step
95
96
97
98
99
nodropout-epochs-10-batch_size-64-lr-0.001
epochs-10-batch_size-16-lr-0.01
epochs-10-batch_size-32-lr-0.0001
epochs-10-batch_size-64-lr-0.001
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