For finetuning, you will use data from “bus” and “tiger” classes of CIFAR-100 data set. Your task is to find out how to finetune a
pretrained CNN model, use the training data (I think 500 images for each class) “bus” and “tiger” classes for finetuning the network,
and verify the accuracy with the test data (100 images per class) of the same 2 classes. Fine tune can be performed on the selected
layers of the pretrained model. You need to record the test accuracy when you finetune the last layer, last two layers, last three
layers, last four layers, and all five layers.
Hello dear client, I have 6 years of experience in Deep Learning. I have deep understanding of algorithm implementations updated with state of the art algorithms like BERT, Deep Speech etc. I have worked in CNN, NLP, Daha Fazla
Bu iş için 4 freelancer ortalamada $85 teklif veriyor
Hey there, I am expert in Deep learning and I can do this work. Feel free to inbox me any time so that we can discuss more. Thank you.
I'm data scientist and i have been working on machine learning,data analysis,visualization in python , may i can help you ,I'm waiting for your msg to discuss more, thanks