For my course project, i have made a american sign language classification model using deep neural networks, deep convolutional neural networks and resnet-9
I have done my project on GANs.
Using GANs I have created my own artwork which consists of paintings and sketches.
The results are not bad and I am quite satisfied.
I have used pretty much the same code used in the lecture notebook. So if you have any suggestions for improving the architecture of the models please let me know I will try it out.
Have been reading a few projects, so many different thoughts and ideas. I attempted a basic Yoga Asana Classifier and also built a simple UI using StreamLit. Sharing my course project and blog post here, do have a look and share your comments -
Blog link: Asana Classifier
Github : Code for Asana Classifier
My first blog post, may feel all over the place, thanks for the patience!
This is the first time I have done a project from scratch and wrote a blog. I never thought I would write a blog, thanks to the team for this amazing course. Any suggestions, feedback would really help me to improve myself.
Hi everyone! Have you ever been looking at an image and wondered - is this an elephant, a zebra, a rhino or a buffalo? I know I definitely have , so I built a CNN classifier for my course project. I attained 100% validation and 100% test set accuracy!! Here is the link, give it a look and like it if you enjoyed my work!
So, for my final project I did a silly model to do something useful: to identify new tires and worn out tires so that one can use this model to check if the tires on his car are worn out and need replacement.
Still, to get a good and well-trained model I would need to collect and clean up a better dataset with pictures of tires and probably do some improvements in the model too.