Introduction to Deep Learning & Neural Networks with Keras

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Introduction to Deep Learning & Neural Networks with Keras After completing this course, learners will be able to: • describe what a neural network is, what a deep learning model is, and the difference between them.

About this Course

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Looking to start a career in Deep Learning? Look no further. This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks? You will learn about the different deep learning models and build your first deep learning model using the Keras library.

After completing this course, learners will be able to:

• describe what a neural network is, what a deep learning model is, and the difference between them.

• demonstrate an understanding of unsupervised deep learning models such as autoencoders and restricted Boltzmann machines.

• demonstrate an understanding of supervised deep learning models such as convolutional neural networks and recurrent networks.

• build deep learning models and networks using the Keras library.


IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world’s most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become “smarter” as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.

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