GitHub - d3adb33/Tensorflow: learning TF with Python

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
2-Perzeptron-UND-Aufgabe.py		2-Perzeptron-UND-Aufgabe.py
Bilderkennung.py		Bilderkennung.py
LICENSE		LICENSE
ML_model.py		ML_model.py
PCA.py		PCA.py
Perzeptron.py		Perzeptron.py
README		README
Tanh.png		Tanh.png
XOR_Tensorflow.py		XOR_Tensorflow.py
activation_function.py		activation_function.py
bostonDS.py		bostonDS.py
bostonLinReg.py		bostonLinReg.py
boston_dnn.py		boston_dnn.py
crossEntropy.py		crossEntropy.py
data2d.png		data2d.png
data3d.png		data3d.png
errorFunction.py		errorFunction.py
freeriderhans_git_key		freeriderhans_git_key
freeriderhans_git_key.pub		freeriderhans_git_key.pub
gradient_descent_tf.py		gradient_descent_tf.py
helper.py		helper.py
helper_old.py		helper_old.py
lineareRegression.py		lineareRegression.py
oneHotIntuition.py		oneHotIntuition.py
plotting.py		plotting.py
relu.png		relu.png
sigmoid.png		sigmoid.png
softmax.py		softmax.py
step.png		step.png

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Just learning TF with Python with a Udemy Course!
This is just for learning and going on with Git...

Hopefully someone want to learn this stuff, too :)

Feel free to add more information - share your thoughts and expiriences with me