Predictive Analytics with TensorFlow 3.4: Data Model in TensorFlow

The video tutorial introduces TensorFlow's data model, focusing on tensors, their properties, and operations. It covers creating tensors, understanding their rank and shape, and managing sessions. The tutorial also explains variables, fetches, and methods to input data into TensorFlow, preparing viewers for more advanced topics like linear regression.

What is a tensor in the context of Tensorflow?

Explain the concept of rank in relation to tensors.

What is the significance of the shape of a tensor?

How do you create a tensor with a constant value in Tensorflow?

Describe the purpose of variables in Tensorflow.

How can you fetch multiple tensors in Tensorflow?

What are the methods of getting data into a Tensorflow program?