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Car learned to drive on a certain track using Deep Learning/Neural Networks

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Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
.gitattributes		.gitattributes
Deep.Learning.Project.pdf		Deep.Learning.Project.pdf
README.md		README.md
drive.py		drive.py
model.py		model.py
model1.h5		model1.h5
model2.h5		model2.h5
video.py		video.py

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Project Requirements

Install term 1 version 2 from the following URL: https://github.com/udacity/self-driving-car-sim

Create a new environment and install TensorFlow 2.8 From https://www.tensorflow.org/install/source_windows#gpu

Packages

keras
opencv
scipy
matplotlib
scikit-learn
flask
PIL
eventlet
python-socketio==4.6.1
python-engineio==3.13.0

Project Run

run beta_simulator.exe
open cmd in current project folder
activate your environment
write python drive.py model1.h5

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Car learned to drive on a certain track using Deep Learning/Neural Networks

opencv tensorflow cnn keras-tensorflow

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