Week 1 - Neural Networks, Deep Learning, and TensorFlow

• Eager Execution
• Linear Regression with TensorFlow
• Logistic Regression with TensorFlow
• Deep Neural Networks

Week 2 - Supervised Learning Models (CNNs)

• Convolutional Neural Networks (CNNs)
• CNNs for Classification
• CNNs Architecture
• CNN with TensorFlow

Week 3 - Supervised Learning Models (RNNs, LSTM Model, Language Modelling)

• Recurrent Neural Networks (RNNs)
• Long Short Term Memory (LSTM) Model
• Language Modelling
• Language Modelling with LSTM

Week 4 - Unsupervised Deap Learning Models (RBMs)

• Restricted Boltzmann Machines (RBMs)

week 5 - Unsupervised Deep Learning Models and scaling (Autoencoders)

• Autoencoders