no code implementations • 8 Nov 2020 • Shreyas Rajesh Labhsetwar, Alistair Michael Baretto, Raj Sunil Salvi, Piyush Arvind Kolte, Veerasai Subramaniam Venkatesh
Since compound scaling the baseline model ensures that all the three dimensions: width, depth and resolution are scaled, the best performance is obtained with compound scaling.
no code implementations • 8 Nov 2020 • Shreyas Rajesh Labhsetwar, Soumya Haridas, Riyali Panmand, Rutuja Deshpande, Piyush Arvind Kolte, Sandhya Pati
This research analyzes the performance of various optimizers for predictive analysis of plant diseases with deep learning approach.
no code implementations • 8 Nov 2020 • Shreyas Rajesh Labhsetwar, Raj Sunil Salvi, Piyush Arvind Kolte, Veerasai Subramaniam Venkatesh, Alistair Michael Baretto
The results indicate that Transfer Learning with ImageNet weights using VGG 16 model demonstrates the best classification performance with the best Accuracy of 95%.