Niranjan Akella

Hello, @vaibhavgupta2499 I have uploaded a new jupyter notebook [['PDD_Classification_Niranjan.ipynb']](https://github.com/kashish-ag/Detection-of-Plant-Disease/blob/812dcc8267b6095f2e5531956defd783b719592b/PDD_Classification_Niranjan.ipynb) in the main branch where I have incorporated a new approach by integrating the CNN with support vector machines &...

@dhruv-varshney I have built a hybrid model using CNN and XGB in the ['PDD_Classification_Niranjan.ipynb'](https://github.com/kashish-ag/Detection-of-Plant-Disease/blob/812dcc8267b6095f2e5531956defd783b719592b/PDD_Classification_Niranjan.ipynb) Jupyter Notebook. There I have also mentioned the further scope. Try checking it out.

@dhruv-varshney Since there are many peaks in the graph as well try playing with the optimizer and other hyperparameters. If you get an OSError saying that you have run out...

@Nagasai97 @mrousavy This worked for me!! I was trying to implement multiple blur views i.e Background & inside Flat list. This was working fine until I also added a BottomTabs...

@Someone-LikeU Hey, I have tried to load the model in the following way, and it has loaded successfully. `model_spec = torch.load('/content/edsr-baseline-liif.pth')['model'] model = models.make(model_spec, load_sd=True).cuda()`

If the changes are fine by you, then also please do apply them to your colab notebook and update the README.md file too.

In cp_dataset.py, line 30 **Replace:** ``` self.transform = transforms.Compose([ transforms.ToTensor(), transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))]) ``` **With this line:** ``` self.transform = transforms.Compose([ transforms.ToTensor(), transforms.Normalize((0.5,), (0.5,))]) ``` And also...

I am also facing the same issue can someone please kindly address this.

This can be corrected by re-assigning the loss and logits to the corresponding model output values. **Before** ``` loss, logits = model(texts, attention_mask=masks, labels=labels) ``` **After** ``` model_out = model(texts,...

@yl4579 I agree, I saw similar spikes when trying other endpoints for LJSpeech with noise too. Very strange behaviour. @amssss0 any luck so far? Will give it a try too.