deeplearning

collection of jupyter notebooks for deep learning

gradient descent (python file animates the descent optimization)
lane detection (uses hough transform and includes a sample mp4 video)
perceptron (the basic building block of all neural networks)
multi (multi layer perceptron aka artificial neural network)
binaryDNN (DNN for binary classification)
mnist-DNN (DNN for the MNIST dataset)
mnist-CNN (CNN for the MNIST dataset)
traffic signs (CNN to classify the european road sign data set)
regression (regression with keras)
imitation learning (NVIDIA-CNN to train a car to drive!)
deeplearning workshop (includes the lab guide, which was somewhat followed)
garbage udemy class folder (unnamed course that promised XY and Z but delivered f...) there might be usefull code snippets there

Name		Name	Last commit message	Last commit date
Latest commit History 104 Commits
datasets		datasets
garbage udemy class maybe useful code snippets		garbage udemy class maybe useful code snippets
laneDetection		laneDetection
AutoEncoder.ipynb		AutoEncoder.ipynb
AutoEncoder2.ipynb		AutoEncoder2.ipynb
BoltzmannMachine.ipynb		BoltzmannMachine.ipynb
GenerativeAdversarialNetwork.ipynb		GenerativeAdversarialNetwork.ipynb
GenerativeAutoencoder.ipynb		GenerativeAutoencoder.ipynb
GenerativeModeling.ipynb		GenerativeModeling.ipynb
LSTM.ipynb		LSTM.ipynb
README.md		README.md
SelfOrganizingMaps.ipynb		SelfOrganizingMaps.ipynb
TensorFlow-Lab.pdf		TensorFlow-Lab.pdf
ae_anomaly_detection.ipynb		ae_anomaly_detection.ipynb
conda_env_packages.txt		conda_env_packages.txt
deepLearningWorkshopDay2CNN.ipynb		deepLearningWorkshopDay2CNN.ipynb
imitationLearning.ipynb		imitationLearning.ipynb
kerasBinaryMLP.ipynb		kerasBinaryMLP.ipynb
kerasMNIST-CNN.ipynb		kerasMNIST-CNN.ipynb
kerasMNIST-MLP.ipynb		kerasMNIST-MLP.ipynb
kerasMulti.ipynb		kerasMulti.ipynb
kerasPerceptron.ipynb		kerasPerceptron.ipynb
kerasRegression.ipynb		kerasRegression.ipynb
kerasTrafficSigns.ipynb		kerasTrafficSigns.ipynb
variationalAE.ipynb		variationalAE.ipynb

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