April 2018
Beginner to intermediate
566 pages
12h 17m
English
In this section, we will list all the points that create problems. We should try to improve them. The following are things that I feel we can improve upon:
We can try different gradient descent techniques.
In this approach, training takes a lot of time that means training is computationally expensive. When we trained the model, we used GPUs even though GPU training takes a long time. We can use multiple GPUs, but that is expensive, and a cloud instance with multiple GPUs is not affordable. So, if we can use transfer learning in this application, or use the pre-trained ...