fine tune a small cnn network using cifar 100 dataset

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.

Beceriler: Machine Learning (ML), Keras, Neural Networks

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İşveren Hakkında:
( 9 değerlendirme ) NY, United States

Proje NO: #22333042



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

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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.

1 gün içinde %bids___i_sum_sub_32%%project_currencyDetails_sign_sub_33% USD
(12 Değerlendirme)

Hello there, I am a machine learning/deep learning enthusiast and freelance engineer. I have previous experience in working with datasets like CIFAR and pretrained models. I am interested in your project. Please messa Daha Fazla

$100 USD in 15 gün içinde
(1 Yorum)

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

$80 USD in 7 gün içinde
(0 Değerlendirme)