leenamurgai / ud730-deep-learning

UD730 Deep Learning Udacity Course (Vincent Vanhoucke)

ud730-deep-learning

UD730 Deep Learning Udacity Course (Vincent Vanhoucke)

Course Notes

1. Machine Learning to Deep Learning
   • Logistic Classification
   • Stochastic Optimisation
   • Data and Parameter Tuning
   • Assignment 1: Character Recognition (notMNIST)
2. Deep Neural Networks
   • Assignment 2: Stochastic Gradient Descent
   • Regularisation
   • Assignment 3: Regularisation
3. Convolutional Neural Networks
   • Assignment 4: Convolutional Models
4. Deep Models for Text and Sequences
   • Embeddings
   • Assignment 5: Word2Vec and CBOW (text8)
   • Recurrent Models
   • Assignment 6: LSTMs