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Udacity: Deep Learning: Reinforcement Learning: Temporal Difference Methods

#24 mbhushan opened 6 years ago
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Udacity: Deep Learning: Reinforcement Learning: Monte Carlo Methods

#23 mbhushan opened 6 years ago
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Udacity: Deep Learning: Reinforcement Learning Framework

#22 mbhushan opened 6 years ago
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Udacity: Introduction to Reinforcement Learning

#21 mbhushan opened 6 years ago
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Udacity: DLND: GANs (Generative Adversarial Networks)

#20 mbhushan opened 6 years ago
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Udacity: DLND: RNN: Hyperparameters

#19 mbhushan opened 6 years ago
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Long Short Term Memory (LSTMs)

#18 mbhushan opened 6 years ago
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RNN to LSTM

#17 mbhushan opened 6 years ago
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RNN - Unfolded Model

#16 mbhushan opened 6 years ago
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RNNs - Part A and B.

#15 mbhushan opened 6 years ago
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Udacity: DLND: Lesson 5: Autoencoders

#14 mbhushan opened 6 years ago
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Udacity DLNN: CNNS Lesson 2

#13 mbhushan opened 6 years ago
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Udacity: Deep Learning: Lesson 3: Training Neural Networks

#12 mbhushan opened 6 years ago
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Udacity: Deep Learning: Lesson 2: Implementing Gradient Descent

#11 mbhushan opened 6 years ago
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Udacity: Deep Learning: Neural networks

#10 mbhushan opened 6 years ago
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Course 5: Sequence Models: Week1

#9 mbhushan opened 6 years ago
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Course 4: Convolutional Neural Networks - Week 4: Face Recognition

#8 mbhushan opened 6 years ago
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Course 4: Convolutional Neural Networks - Week 3: Detection Algorithms

#7 mbhushan opened 6 years ago
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Course 4: Convolutional Neural Networks - Week 2

#6 mbhushan opened 6 years ago
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SVM: Andrew Ng Coursera Notes

#5 mbhushan opened 6 years ago
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Course 4: Convolutional Neural Networks - Week 1

#4 mbhushan opened 6 years ago
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Course 3: Structuring Machine Learning Projects Week 2 Notes

#3 mbhushan opened 6 years ago
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Course 3: Structuring Machine Learning Projects Week 1 Notes

#2 mbhushan opened 6 years ago
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Course 2: Week 3: Hyperparameter tuning, Batch Normalization and Programming Frameworks

#1 mbhushan opened 6 years ago
0