Course Title : Neural Networks with Tensorflow
Instructor : Sanasam Ranbir Singh
Teaching Assistant: Th. Jennil Singh
Week 3: Introduction to Tensor and Tensorflow Programming
Reference Links:
- TensorFlow click)
- TensorFlow Tutorial click)
Lessons
- Lesson 1: Introduction to Tensorflow ( PPT)
- Lesson 2: Introduction to Tensors
- What are Tensors and how to define them?( PPT)
- Lesson 3: Operations on Tensors
- Operations on Tensors( PPT)
- Compatibility of two tensors( PPT)
- Lesson 4: Variable Type Tensors ( PPT)
- Lesson 5: Reshaping Tensors ( PPT)
- Lesson 6: Extracting Data from a Tensor
- Extract Contiguous elements from a Tensor( PPT)
- Extract Non-contiguous elements from a Tensor( PPT)
- Extract Minimum/Maximum element from a Tensor, Join tensors( PPT)
- Lesson 7: Implementing Neural Network
- Implement Simple two layer MLP with and without Tensorflow( PPT)
- Implement MLP with Tensorflow – Sequential and Functional Model( PPT)
Sample Codes
- Tensor Definition( click)
- Operation on Tensor( click)
- More on Tensor( click)
- Matrix Operation on Tensor( click)
- Accessing Data from Tensor( click)
- MLP with Keras( click)