How can I apply k-fold cross validation in the 195. tutorial(195 - Image classification using XGBoost and VGG16 imagenet as feature extractor). I wish you may help me in this situation. Because the most common problem in practice is overfittig. How can I overcome this in this code Thank you for all your effort Sir.
AI is already assisting pathologists and radiologists in making informed decisions. I am not sure if it will fully replace them but based on how wearable devices are providing information using ECG or heart rate, it is conceivable that AI makes it possible for the user to directly get insights.
As Mithi said, more control and flexibility. Please wait for my GAN videos to understand the need. I tend to cover topics (that may sound basic to some people) as a precursor to topics that need this information.
for example, if you wanted to implement a GAN model, you need to combine two models (generative and discriminator) and you can't use model.fit() because you need one's loss for training the other at train time
Dear Sreeni
I think in your validation it should be y_pred and y_test, but. you put X_test and. y_test
no, its correct only. the line before seems like a redundant line, though, so even I got confused.
sir can you give us a video on GRADIO for real time model implementation
How can I apply k-fold cross validation in the 195. tutorial(195 - Image classification using XGBoost and VGG16 imagenet as feature extractor). I wish you may help me in this situation. Because the most common problem in practice is overfittig. How can I overcome this in this code Thank you for all your effort Sir.
Hello sir, could you please start a course on object detection and instance segmentation?
How can we do custom training loops on LSTM? Do you have any videos on it?
Imma bit confused about how to decide the accuracy. Is it in the last epoch or the average of all epochs?
Dr. Screeni, do you think how long it will take that AI will replace most of pathology or radiology work?
AI is already assisting pathologists and radiologists in making informed decisions. I am not sure if it will fully replace them but based on how wearable devices are providing information using ECG or heart rate, it is conceivable that AI makes it possible for the user to directly get insights.
i'm sorry, is this spyder IDE standalone or anaconda spyder? because it seems i can't install keras in spyder IDE
you need to pip install tensorflow
@@deketh73 failed, many times.
What is the benefit of doing this
More control and more flexibility
As Mithi said, more control and flexibility. Please wait for my GAN videos to understand the need. I tend to cover topics (that may sound basic to some people) as a precursor to topics that need this information.
for example, if you wanted to implement a GAN model, you need to combine two models (generative and discriminator) and you can't use model.fit() because you need one's loss for training the other at train time