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about three thousand images were used for training CNN.It utilized opencv,NumPy,panda,imaging,Keras, TensorFlow,socketio,as major libraries.the neural network worked well on the first track.the model file stored the trained model.elu and softmax activation functions were employed.It can work on workstations without GPU but takes a considerable amount of time.

Python 100.00%
opencv python self-driving-car keras tensorflow convolutional-neural-networks socket-io pandas numpy imgaug

ai_self_driving_car_using_cnn_-'s Introduction

Mayank Singh Rathore


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  • Learning : Full-Stack development | Computervision | Algorithms
  • Languages : Python, C, JavaScript,HTML,CSS
  • Organization : KIET Group of institutions

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