My solutions to the projects assigned for the Udacity Deep Learning Nanodegree
| Project | Concepts | Tools |
|---|---|---|
| P1_Bike_Rental | NN basics, forward pass, backpropagation, activation functions, loss functions, optimizers, training and testing and prediction, data preprocessing, hyperparameters | pandas, numpy |
| P2_Dog_Classification | CNNs, Image Classification, Face Detection, Transfer Learning | Keras |
| P3_TV_Script_Generation | NLP, RNNs, LSTMs, word embeddings | Tensorflow |
| P4_Face_Generation | Generative Adversarial Networks, Generator/Discriminator | Tensorflow |
| P5_Quadcopter | Reinforcement Learning, Markov Decision Processes, Value Functions, Policy-based methods, Actor-Critic methods, Deep Q-learning, Deep Deterministic Policy Gradients, physics simulation | Keras, Tensorflow |