I tried to implement the lesson 1 is it a bird or forest. I am getting error rate as 1 for epochs. But when i use it the model predicts the bird or forest correctly. This is my first time doing anything in DL so i dont know what to make out of this.
PFA the snapshot of my jupyter runtime
can you try another model than resnet18 and see what result you will get?
Tried with resnet34, same display. I also tried to plot confusion matrix. I am guessing that it might have something to do with error rate but there was no confusion as per the plot.
I have installed fastai, pytorch using miniconda, I dont know may be the distribution here is not proper.
Will give it a try using mamba as suggested in the course or colab
the models are overfitting to your dataset which is small by the way, try to have a bigger dataset try for example hundreds of bird images and hundreds of forest images