tanishqjasoria / DeepLearning Public

Implementation of some Neural Network architecture using Numpy, TensorFlow and Keras.

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Name		Name	Last commit message	Last commit date
Latest commit History 26 Commits
0.Python Basics with Numpy		0.Python Basics with Numpy
1.Logistic Regression as a Neural Network		1.Logistic Regression as a Neural Network
10. Convolution Model		10. Convolution Model
11. KerasTutorial		11. KerasTutorial
12. ResNets		12. ResNets
13. Car detection for Autonomous Driving		13. Car detection for Autonomous Driving
14. Face Recognition		14. Face Recognition
15. Neural Style Transfer		15. Neural Style Transfer
2.Planar data classification with one hidden layer		2.Planar data classification with one hidden layer
3.Building your Deep Neural Network - Step by Step		3.Building your Deep Neural Network - Step by Step
4.Deep Neural Network Application_ Image Classification		4.Deep Neural Network Application_ Image Classification
5.Initialization		5.Initialization
6.Gradient Checking		6.Gradient Checking
7.Regularization		7.Regularization
8.Optimization Methods		8.Optimization Methods
9. Tensorflow Tutorials		9. Tensorflow Tutorials
README.md		README.md