TensorFlow Classes
Introduction to TensorFlow
Introduction to TensorFlow is a 1 day hands-on instructor led seminar that will enable students to understand the basics principles of TensorFlow and apply that knowledge to practical problems
The course is 50% lecture and 50% hands on tweaking predefined examples. The lecture will describe the TensorFlow models used in the exercises and the labs will reinforce those models with hands on usage.
As part of the class you will receive a printed book of all of the slides annotated with speaker notes, and Jupyter notebooks for all of the class exercises. The examples used in the labs can be extended for real projects.
Who should attend?
· Managers who want to understand what TensorFlow is all about
· Engineers who wish to understand the hows and whys of TensorFlow
· Engineers who need to learn Deep Learning techniques for application to an existing or future project
· Engineers who have a rudimentary AI understanding but want to fill in their knowledge
What will you learn?
· TensorFlow to describe linear regression, simple classification, deep networks, and convolutional neural networks
· How to create Artificial Intelligence models
· How to recognize and create good data sets
· How to effectively use Transfer Learning
Practical Deep Learning with TensorFlow
Practical Deep Learning with TensorFlow is a 3 day hands-on instructor led training class that will enable students with no Artificial Intelligence knowledge to understand the basics principles of AI and Deep Learning and apply that knowledge to practical problems.
The course is 50% lecture and 50% hands on code writing, debugging, and testing on reasonable sized examples. In this course you will apply what you learned in the lecture by building reasonable sized examples, training and debugging them. The lecture describes the AI techniques needed create different AI models and the labs will reinforce those techniques with hands on usage.
As part of the class you will receive a printed book of all of the slides annotated with speaker notes, and Jupyter notebooks for all of the class exercises. The examples used in the labs can be extended for real projects.
Who should attend?
· Engineers who wish to understand the best way to apply TensorFlow to real projects
· Engineers who need to learn Deep Learning techniques for application to an existing or future project
· Engineers who have no AI understanding but want to jump start a project using TensorFlow
What will you learn?
· Basic AI principles such as linear regression, simple classification, multi-class classification, deep networks, and convolutional neural networks
· How to create Artificial Intelligence models
· How to recognize and create good data sets
· How to effectively use Transfer Learning
Prerequisites
· Basic programming experience
· A passion to learn something new