Yes, you are right. I love this channel. This topic was quite clear to me, but you added even more graphical insight and now it is crystal clear. Thank you.
Hi Sreeni! I've found your channel during my time writing bachelor thesis about GMM in regards of pixel-wise semantic segmentation. I've learned a lot from your channel in the beginning. Now I'm working on the industrial use of image classification with Neural Networks and I have to say, I'm still going back to your videos. The quality is amazing and you are great at explaining complex methods in concise and understandable manner. Cheers from Austria!
I am glad you find my videos to be useful. I often go back to my old videos to refresh on topics I haven't explored in a while. Salzburg is one of my favorite places to visit, not just in Austria but in the entire world. I love Altstadt and the view of Salzach River from the top of Fortress Hohensalzburg is breathtaking.
I think you are one of the best tutors I ever seen on deeplearning you are truley are this is so professional and thats what every tuting must be thank you
Great explanation and demonstration! Is the threshold test vs confusion matrix only available for certain classifiers or only for binary classification? I have tried adapting this to multiclass randomforests and that classifier appears to only output class numbers and not per class probabilities.
Confusion matrix tells you the accuracy for each class and ROC helps you assess the model performance, especially in comparison to other models. So if you are plying with many models to see which one is appropriate then use ROC metric.
ValueError: Layer model expects 1 input(s), but it received 617 input tensors. Inputs received, I got this error when I run the code: " from sklearn.metrics import confusion_matrix y_pred = (model.predict(X_test)>= mythreshold).astype(int) cm=confusion_matrix(y_test, y_pred) print(cm) " on my model the test set is 617 images, how to fix this problem sir?
hello Sir! thank you very much for your good work in helping us to get acquired about everything needed for a microscopist. I have a problem, which ways can you advise me to pass through in order to count colonies of A PETRI DISH ( colony counting for petri dish) thank you for your considerations?
We did this task an year ago as part of my work. Here is the link to a pre-configured workflow. (It is a free platfrom, don't worry). www.apeer.com/app/workflows/detail/Colony-Forming-Unit/8cfed555-50ce-4eda-be1b-b3202c1e5e9f If you want to write your own code then there are many way but the best one that works most of the time would be to use some sort of machine learning. I recommend starting with traditional machine learning, please watch my videos on this topic (from video 60 to 70 or so). If you want to label your images for machine learning then you can do it here (again, free): www.apeer.com/annotate
