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SMAI-Assignment-3-Q5-Permuted-MNIST-CNN
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Q5 : Report for CNN on Double Digit MNIST

Q5 : Report for CNN on Double Digit MNIST

Hardik Mittal
Created on October 23|Last edited on November 20

Hyperparameter Tuning


lr_0.001_dropout_0.2lr_0.001_dropout_0lr_0.001_dropout_0lr_0.01_dropout_0lr_0.001_dropout_0.2lr_0.001_dropout_0lr_0.001_dropout_0.2lr_0.001_dropout_0.2lr_0.01_dropout_0lr_0.01_dropout_00.00.20.40.6
lr_0.001_dropout_0.2lr_0.001_dropout_0lr_0.001_dropout_0lr_0.01_dropout_0lr_0.001_dropout_0.2lr_0.001_dropout_0lr_0.001_dropout_0.2lr_0.001_dropout_0.2lr_0.01_dropout_0lr_0.01_dropout_00.00.20.40.6
lr_0.001_dropout_0.2lr_0.001_dropout_0lr_0.001_dropout_0lr_0.01_dropout_0lr_0.001_dropout_0.2lr_0.001_dropout_0lr_0.001_dropout_0.2lr_0.001_dropout_0.2lr_0.01_dropout_0lr_0.01_dropout_00204060
020406080100Step20040060080010001200
Run set
13

  • As we can see from the graphs, the best hyperparameters are : LR : 0.001 , Dropout : 0.2

Created with ❤️ on Weights & Biases.

https://wandb.ai/wb-team-hardik/SMAI-Assignment-3-Q5-Permuted-MNIST-CNN/reports/Q5-Report-for-CNN-on-Double-Digit-MNIST--Vmlldzo1NzU2NTY4
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