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Building a convolutional neural network (CNN/ConvNet) using TensorFlow NN (tf.nn) module. The CNN model architecture is created and trained using the CIFAR10 dataset. The model is accessed using HTTP by creating a Web application using Python and Flask.

Home Page: https://www.linkedin.com/in/ahmedfgad

Python 93.68% CSS 0.79% JavaScript 0.36% HTML 5.17%

cifar10cnnflask's Introduction

Hi there ๐Ÿ‘‹

๐Ÿ”ญ Iโ€™m a PhD student in autonomous machine perception for heavy duty machinery in Autonomous Mobile Machines Group at (Automation Technology and Mechanical Engineering),Tampere University, Finland. Before that I was a Consultant Data Scientist at Clear Image AI.

๐Ÿ’ฌ Ask me about deep learning, automotive radar, sensor fusion, mobile robotics, computer vision, python.

๐Ÿ“ซ How to reach me:

Portfolio: https://pkr-space.web.app

Work Email: [email protected]

Google Scholar: https://scholar.google.com/citations?user=QHhcXZIAAAAJ&hl=en

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