Leverage the power of KERAS in your business
Keras is a neural network library in Python enabling to build own neural networks on different topics.
Neural networks are powerful tool in AI and Machine Learning field
Let´s explore neural networks in regression and
classification projects. The course focuses on concepts underlying regression,
such as the differences between simple and multiple regression and
algebraically representing a multiple linear regression problem. Moving on,
you'll discover various classification techniques, such as Naive Bayes and Mixture
Gaussian, and use these to solve practical problems. The course ends by
teaching you the basic concepts of multilayer neural networks and how to
implement them in Keras environment.
Keras is a user-friendly, modular, and intuitive neural network library that enables you to experiment with deep neural networks
enables to create user-friendly and very powerful techniques by using neural
networks on regression and classification problems. Moreover, neural networks
are very popular in image recognition and natural language processing. In case
of image recognition, the neural networks imitate how the brain works and how
the eyes see. So, the neural network is able to recognize different objects on
images. In case of natural language processing the neural networks are useful
for example to propose next words in your e-mail, blog and much more.
Do you want to learn more about how the neural network work for regression and classification techniques? Join this e-learning course on: