• Introduction to Deep Learning
    • Overview of Natural Language Processing
      o Machine learning methods
      o Deep learning methods.
  • Tensorflow
    • Introduction to TensorFlow
    • Installation & Setup
    • TensorFlow Basic Syntax
    • TensorFlow Graphs
    • Variables and Placeholders
  • TensorFlow Graph & TF Data
    • Building the GRAPH
    • Running a session
    • Data augmentation
    • Tensor flow optimization
  • Keras
    • What is keras
    • Building models with Keras
    • Understanding various features of Keras
  • Artificial Neural Networks
    • ANN Intuition
    • Building an ANN
    • Homework Challenge – Should we say goodbye to that customer?
    • Evaluating, Improving and Tuning the ANN
    • Homework Challenge – Put me one step down on the podium