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Introduction to Deep Learning & Neural Networks with Keras

IBM

Included with DLSEI 3.0

IBM AI Engineering Professional Certificate

Learn, practice, and apply job-ready skills with expert guidance

5

Rating out of 5

Beginner Level

Recommended experience

6 Hours

Learn at your own pace

data-science

Domain

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:
•\tdescribe what a neural network is, what a deep learning model is, and the difference between them.
•\tdemonstrate an understanding of unsupervised deep learning models such as autoencoders and restricted Boltzmann machines.
•\tdemonstrate an understanding of supervised deep learning models such as convolutional neural networks and recurrent networks.
•\tbuild deep learning models and networks using the Keras library.

What skills will you gain?

Keras

Artificial Neural Networks

Deep Learning

Convolutional Neural Network

Human Learning

Computer Programming

Python Programming

General Statistics

Regression

Analysis