This is the first hands-on session in the Machine Learning with TensorFlow series. The primary focus of this session is to help you understand the fundamental components of TensorFlow.
Learning Objectives:
- Creating scalars, vectors, matrices, and tensors
- Inspecting different attributes of a tensor.
- Performing basic operations on tensors.
- Learn to index and slice tensors.
- Reshaping and manipulating tensors.
What you'll get?
- Access to a code lab to practice everything.
- Understanding of how tensors are work underneath computer vision and NLP applications
Who should attend?
- Programmers who are looking to now start with ML. Ideally, you should have experience programming in Python.
- Individuals with a basic understanding of mathematics(linear equations, vectors, matrix multiplication, etc).
What do you need to attend?
- We'll be using Google Colab for coding. All you need is an internet connection and a laptop/pc with Chrome(preferably) installed.
