Deep Learning Optimization

Deep learning is rapidly growing field for classification of digital images. Optimized Your Code to get Maximum Accuracy in deep learning models for classification of images. Various deep learning optimization algorithm such as stochastic gradient descent, ADAM, RMSProp, Adamax, Adadelta have been tried with varying number of epochs and most optimized one is chosen for predicting unseen images using Keras and Tensorflow.

Autorentext

Dr. Vikas Thada is currently working as Associate Professor in CSE department at Amity University Gurgaon. He has published number of books on programming and published many research papers in reputed journals.