Upgrade the CNN for better results 🖼️

[BlueBlaze6335]

🖼️ Update the CNN by adding layers !!

You can add Convolution layers and edit the CNN to generate better results !!

The accuracy is very poor. You can add layers and make changes and tweak the model to generate better results. You can create a new model named "Net-X" , where X is the network number and also plot the training and validation accuracy of your model !! And when you are done update the readme with the results and also the model architecture.

Additional
You can add Validation loss vs. training loss graph and confusion matrix.

[Tanmoydey21]

🖼️ Update the CNN by adding layers !!

You can add Convolution layers and edit the CNN to generate better results !!

The accuracy is very poor. You can add layers and make changes and tweak the model to generate better results. You can create a new model named "Net-X" , where X is the network number and also plot the training and validation accuracy of your model !! And when you are done update the readme with the results and also the model architecture.

Additional You can add Validation loss vs. training loss graph and confusion matrix.

Please assign me this issue so that I can update the CNN.
Thank you.
Dada, My name is Tanmoy dey, from Electronics and communication engineering department, Jalpaiguri government engineering college.

[BlueBlaze6335]

@Tanmoydey21 I have assigned you this issue !! If you need any help , i guess you know how to reach me. Otherwise you can ask questions in the GDSC JGEC Discord server - Link to text channel

[sebaspv]

🖼️ Update the CNN by adding layers !!

You can add Convolution layers and edit the CNN to generate better results !!

The accuracy is very poor. You can add layers and make changes and tweak the model to generate better results. You can create a new model named "Net-X" , where X is the network number and also plot the training and validation accuracy of your model !! And when you are done update the readme with the results and also the model architecture.

Additional You can add Validation loss vs. training loss graph and confusion matrix.

Hi! Can I try this issue? I'd love to try more implementations of CNNs in order to increase the accuracy. Thanks!

[BlueBlaze6335]

@sebaspv I am assigning you !! Happy contributing !!

[BlueBlaze6335]

Everyone please check the discussion section !!

https://github.com/gdscjgec/ML-Gallery/discussions

[Yasas4D]

Hi @BlueBlaze6335 Can you please assign me?

[BlueBlaze6335]

@Yasas4D ✌🏻

[Yasas4D]

Thank you