MAMGD_Optimizer

Gradient optimization method using exponential damping and second-order discrete derivative for neural networks and multidimensional real functions

Gradient-based Optimization Method for Multidimensional Real Functions and Neural Networks

This project focuses on the development of a gradient-based optimization method for multidimensional real functions and neural networks using exponential decay with Tensorflow and Keras.

Technologies Used

• Tensorflow
• Keras
• Matplotlib
• NumPy

Features

• Optimization of multidimensional real functions
• Optimization of neural networks
• Utilizes exponential decay for optimization
• Integration with Tensorflow and Keras for seamless implementation