While running the code under batch gradient descent in pynb model. It is throwing the error validation_losses is not defined.
Can you please help me to resolve it.

My Windows seem to be too weak to run the train model. How strong should it be to run fast? It takes 1 hour running the train model and still not done.

When setting up the project locally, according to the instructions in the README.md, some library versions throw an exception which states that they may not support the Python [latest] version yet.

Need to specify the Python version supported for all the dependencies in the instructions.

if iam uploading leaf image from the google it showing wrong result .what to do now

This part of code is going to infinite loop, not getting any result eventhough it kept running over night

@manthan89-py
Please could you share that "plant_disease_model_1_latest.pt" file? or that code ?Is it same as the model code which was present in the "Plant Disease Detection Code.ipynb" file? Please can you help me with this?

Hello,

We've tried to activate or update your repository on Depfu and couldn't find any supported dependency files. If we were to guess, we would say that this is not actually a project Depfu supports and has probably been activated by error.

Monorepos

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hey here utkarsha apne css ki file upload hi nahi ki hai sirf html u really want to share the code na? our proffersor is shouting on us plz upload css files

@manthan89-py
Bro, i am getting error form the Batch Gradient Descent so help me with this bro..
https://user-images.githubusercontent.com/89437645/199702464-4c521816-9c45-40b8-a475-8d49c24a340e.jpeg

When I add more data to the dataset disease_info (more items about Apple Scab), should I change this 39 to more?
model = CNN.CNN(39)
for example if I add 6 more item in disease_info, should I change 39 to 45 ?
When I do that, I meet this error:
RuntimeError: Error(s) in loading state_dict for CNN:
size mismatch for dense_layers.4.weight: copying a param with shape torch.Size([39, 1024]) from checkpoint, the shape in current model is torch.Size([45, 1024]).
size mismatch for dense_layers.4.bias: copying a param with shape torch.Size([39]) from checkpoint, the shape in current model is torch.Size([45]).

While opening supplement market web page images of some supplement not showing.
can u help me to solve this error

While training the CNN model in the batch gradient step this is the result I'm getting
Epoch : 1/5 Train_loss:0.000 Test_loss:0.000
I ran the code exactly, I didn't change anything.