customize the standard CNN architectures for image classification. Standard CNNs such as AlexNet, GoogleNet, ResNet, etc. should be used to create customized version of the architectures. You are
also required to implement a custom CNN architecture for object detection and
localization. Both the customized CNNs (image classification and object detection) should be trained and tested using the dataset provided.
13 freelancers are bidding on average $243 for this job
Hello! I'd like to deliver an ablation study on NN. I'm familiar with yolo, mask rccn and pytorch. I"ll do the job fairly good. Please, give me a try!
Hi. I've checked the project description. I am fully experienced with image processing and cnn Let me know if you have interests on my proposal. Thanks for your time.
Experienced Machine Learning Engineer, worked on many projects related to machine learning field including deep learning and Computer Vision. I have very good experience in Python, Numpy, Tensorflow and Keras.