Course: Optimization Method for Data Science (DTSC 615/M01) - Fall 2021
Instructor: Dr. Jerry Cheng
Team Memebers: Michael Trzaskoma, Hui (Henry) Chen, Bofan He, Ephraim Hallford
Comparative analysis of Stochastic Optimization methods with binary classification using a CNN through Python, Tensorflow, Keras, and GPU.
. ├── assets ├── dataset │ ├── test │ │ ├── cat │ │ └── dog │ ├── test1 │ ├── train │ │ ├── cat │ │ └── dog │ └── val │ ├── cat │ └── dog └── saved_models
In this project, we analysis the different Stochastic Optimization methods such as Adagrad, Adadelta, RMSprop, Adam and Adamax with a Convolutional Neural Network (CNN) application.
