CIFAR- Model 2
Use ADAM optimizer with learning rate = 0.01 and cross-entropy as the loss function.
Created on May 27|Last edited on May 27
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Test Accuracy and Loss
We can see that as the number of epochs rises, the model get well trained which increases accuracy and resulted in lowering down the Test Loss
Optimizer- Adam with LR=0.01
Loss Function= Cross Entropy
Here, we observed Test accuracy increases up to 44 % mark only.
Run: smart-butterfly-58
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Sample Prediction Samples
Run: smart-butterfly-58
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This Model has performed relatively poor as compared to other model where we have used SGD optimizer.
Run: smart-butterfly-58
1
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