CPU-vs-GPU-Performance-Analysis

In this project, benchmarking tests were performed between CPU and GPU in the field of Deep Learning.

GeForce GTX 1660 Ti GPU and AMD Ryzen 7 CPU was used during tests. A system for classifying images with Feed forward Neural Network (FNN) architecture was used to compare performance during testing.

Algorithms:

Stochastic GD
Momentum GD
Nesterov GD
RMSProp
Adam
Nadam

Results:

Results folder contains GPU Vs CPU Algorithms compared in terms of Train error, Accuracy and Run Time. Results are compared for no of hidden layer neurons [8,64]