Get yourself trained on Neural Networks in with this Online Training Neural Networks in R.
Online Training Neural Networks in R
Interested in the fields of Neural Networks, Predictive Analytics, and Machine Learning?Then this course is for you!This course is designed by a university professor to help students quickly get up to speed with cutting-edge Neural Networks and apply them to real-world datasetsThe course is a step-by-step guide through the world of Neural Networks, starting with basic R programming. With each module you will develop new skills and improve your understanding of this challenging sub-field of Data Science.This course isa fun and exciting immersion into Neural Networks, Predictive Analytics, and Machine Learning. It is structured the following way:Module 1 Introduction to R (installation, packages, syntax, variables, vectors, matrices, arrays and data frames)Module 2 Introduction to Neural Networks (learn how linear and logistic regression are special cases of neural nets)Module 3 Feed-forward Neural Network (apply networks to MNIST data; use regularization, dropout, and hyperparameters, develop autoencoders and apply to fraud detection)Module 4 Convolutional Neural Networks (develop a variety of architectures, use transfer learning of pre-trained deep learning models for image recognition)Module 5 Recurrent Neural Networks (develop more architectures, Long Short-Term Memory, and apply to natural language processing)The course is packed with practical exercises based on real-lifeapplications. You will get extensive hands-on practice building your own models. The course includes accompanying Rscripts which you will use on your own projects.
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