Just like everything else, our project has come to an end. We learnt so much on the way and tried to come up with new thing and discover machine learning world a bit more.
In our Week-5 blog post, we have talked about training a ConvNet from scratch and shared our preliminary results. We have used AlexNet model and trained it on 10 classes from Food-101 dataset. The preliminary result that we get from this model is about 50% accuracy. But it is time consuming…
In this week we researched convolutional neural networks which we will be use it in our food recognition part of the project. We examined the differences between convolutional neural networks and regular neural networks. And we briefly explained the layers in ConvNets.
Considering the wide range of information we have reached from numerous external sources, we have roughly devised the possible paths we are going to follow for our course project and started to ponder and focus on the accurate…