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This code implements a deep neural network (DNN) model for image classification using the German Traffic Sign Recognition Benchmark (GTSRB) dataset. The goal is to accurately classify traffic sign images into their respective categories.

Python 100.00%
classification cnn dnn gtsrb-dataset image-classification neural-network

gtsrb-dnn-imageclassifier's Introduction

Hey you! 👋

Welcome to my GitHub page! 🎉

I'm Sarath!

Passionate about developing, understanding, and interpreting data for informed decision-making while creating state-of-the-art software solutions for high-performance systems in a fast-paced environment.

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Software Development | ML | Full Stack Development

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| Python 🐍 | C 🅲 | C++ 🅲🅲 |

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| NumPy 🧮 | Pandas 🐼 | Matplotlib | TensorFlow 🧠 | OpenCV 👀 | PIL (Python Imaging Library) |

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| Python | Django | PostcresSQL | HTML CSS | BOOTSTRAP 👀 |

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