Tuning Neural Networks with Keras Tuner

[Cgarg9]

Description:

Use Keras Tuner to find the best hyperparameters for a CNN on the MNIST dataset.

Tasks:

• Load and preprocess the MNIST dataset.
• Define a CNN architecture using TensorFlow/Keras.
• Use Keras Tuner to optimize learning rate, number of filters, and dropout rate.
• Compare training loss before and after tuning.
• Name the notebook keras_tuner_mnist.ipynb.
• Update the README file with relevant references.

[AekamSidhu]

Hi can i be assigned this issue @Cgarg9

[Cgarg9]

@AekamSidhu need to close off the last issue or i need to remove you from that

[AekamSidhu]

HI can i be assigned this now? @Cgarg9

[Cgarg9]

ok.

[Cgarg9]

@AekamSidhu please try to prepare a small assignment on this as well.

[Cgarg9]

@AekamSidhu updates?

[Cgarg9]

@AekamSidhu will unassign by tonight if no updates.

[Kanavpreet-Singh]

@Cgarg9 can i work on this issue?

[Cgarg9]

sure