Course Overview
Participate in this Deep Learning &
Tensor Flow Certification course to learn how to implement deep learning
algorithms, interpret and visualize your results, and create your own deep
learning project. This course will introduce you to artificial neural networks,
autoencoders, and other concepts.
What you will learn
You will have accomplished the following by the end of this Deep
Learning with Keras and TensorFlow course:
•
Learn the fundamentals of the Keras and TensorFlow frameworks.
•
Develop a strong theoretical and practical understanding of various
neural networks, including artificial, recurrent, and conventional networks.
•
Create a variety of predictive models using deep learning tools to solve
problems and optimize business processes.
Course Structure
Over
three courses, you will learn the fundamentals of TensorFlow and deep learning
algorithms. You will gain a thorough understanding of the various tools used in
deep learning applications, such as autoencoders and neural networks. Gain a
practical understanding of how to use artificial intelligence to enable
machines to learn and make their own decisions to solve specific business
problems by participating in online virtual classes and self-paced learning
content.
Who is this course
for?
Individuals
interested in enrolling in this course should have the following:
•
possess a bachelor's
degree or a high school diploma qualification
•
fundamental
programming knowledge
•
a good understanding
of statistics and mathematics
•
excellent knowledge
of machine learning concepts