AI - Basics :

this course contains notebooks explaining Basics of ANN by simple code.
first follow the Tensorflow installation instructions from Tensorflow installation.docx
Run notebooks 1 to 5 in jupyter notebook.

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
1Perceptron_Basics.ipynb		1Perceptron_Basics.ipynb
2artificial_neural_network.ipynb		2artificial_neural_network.ipynb
3ImageClassifier_Fashion_ANN(MLP).ipynb		3ImageClassifier_Fashion_ANN(MLP).ipynb
4Regression_Housing_ANN(MLP).ipynb		4Regression_Housing_ANN(MLP).ipynb
5 Saving and Restoring.ipynb		5 Saving and Restoring.ipynb
Churn_Modelling.csv		Churn_Modelling.csv
README.md		README.md
Tensorflow installation.docx		Tensorflow installation.docx
Untitled.ipynb		Untitled.ipynb
auto_en.h5		auto_en.h5
checkpoint		checkpoint
my_keras_weights.ckpt.data-00000-of-00001		my_keras_weights.ckpt.data-00000-of-00001
my_keras_weights.ckpt.index		my_keras_weights.ckpt.index

Provide feedback