Learnings and Implementations based on the inspiration from Practical Deep Learning For CODERS.

Both Notes and the codes for each lesson documented in its respective notebooks

# main notebook

Name		Name	Last commit message	Last commit date
bears		bears
bird_or_not		bird_or_not
original_lesson_notebooks		original_lesson_notebooks
.DS_Store		.DS_Store
.gitignore		.gitignore
AutoAssociativeNeuralNetwork.ipynb		AutoAssociativeNeuralNetwork.ipynb
Axle_Failure_Prediction_ANN.ipynb		Axle_Failure_Prediction_ANN.ipynb
How does a neural net really work.ipynb		How does a neural net really work.ipynb
L1-Image_Classification-NN_Notes-insights.ipynb		L1-Image_Classification-NN_Notes-insights.ipynb
L2-Model_to_Production_and_Notes.ipynb		L2-Model_to_Production_and_Notes.ipynb
Lesson3.ipynb		Lesson3.ipynb
README.md		README.md
bird.jpg		bird.jpg
forest.jpg		forest.jpg
grizzly_bear.jpg		grizzly_bear.jpg
image.png		image.png
indhra-template1.docx		indhra-template1.docx
indhra-template2.pdf		indhra-template2.pdf