Ahmed Gad

KDnuggets Contributor

Ahmed Gad received his B.Sc. degree with excellent with honors in information technology from the Faculty of Computers and Information (FCI), Menoufia University, Egypt, in July 2015. For being ranked first in his faculty, he was recommended to work as a teaching assistant in one of the Egyptian institutes in 2015 and then in 2016 to work as a teaching assistant and a researcher in his faculty. His current research interests include deep learning, machine learning, artificial intelligence, digital signal processing, and computer vision.

Is Learning Rate Useful in Artificial Neural Networks?

By Ahmed Gad, KDnuggets Contributor on January 15, 2018 in Hyperparameter, Neural Networks, Python
This article will help you understand why we need the learning rate and whether it is useful or not for training an artificial neural network. Using a very simple Python code for a single layer perceptron, the learning rate value will get changed to catch its idea.
TensorFlow: What Parameters to Optimize?

By Ahmed Gad, KDnuggets Contributor on November 9, 2017 in Neural Networks, Optimization, Python, TensorFlow
Learning TensorFlow Core API, which is the lowest level API in TensorFlow, is a very good step for starting learning TensorFlow because it let you understand the kernel of the library. Here is a very simple example of TensorFlow Core API in which we create and train a linear regression model.
TensorFlow: Building Feed-Forward Neural Networks Step-by-Step

By Ahmed Gad, KDnuggets Contributor on October 23, 2017 in Deep Learning, Neural Networks, TensorFlow
This article will take you through all steps required to build a simple feed-forward neural network in TensorFlow by explaining each step in details.

Ahmed Gad

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