Heba Mohamed's Projects
n this project, I'll build my first neural network and use it to predict daily bike rental ridership. The network has two layers, a hidden layer and an output layer. The hidden layer will use the sigmoid function for activations. The output layer has only one node and is used for the regression, the output of the node is the same as the input of the node. That is, the activation function is $f(x)=x$. A function that takes the input signal and generates an output signal, but takes into account the threshold, is called an activation function.
In this project, I used Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington. I wrote code to import the data and answer interesting questions about it by computing descriptive statistics. I also wrote a script that takes in raw input to create an interactive experience in the terminal to present these statistics.
digital watch project with timer , alarm and solar penal
Given an image of a dog, my algorithm will identify an estimate of the canine’s breed. If supplied an image of a human face, the code will identify the resembling dog breed. Along with exploring state-of-the-art CNN models for classification, you will make important design decisions about the user experience for your app.
Hands-On Computer Vision with TensorFlow 2, published by Packt
Parsia's Hugo Shortcodes