Deep Learning with Keras and Tensorflow

Lagos R User Group is a Non Governmental organisation focused on advocating for data science and artificial intelligence inclusion, using R programming language as a tool for Exploratory Data Analysis, Data Visualisation, Modelling and other techniques.

Lagos R User Group

This training is aimed at giving you a general overview of how to use the Keras and Tensorflow package for deep learning in R

<p>Deep learning is an artificial intelligence that mimics the workings of a human brain in processing different data, creating patterns and interpreting information that is used for decision making. It is a subfield of machine learning in artificial intelligence and Its networks has the capability to learn, supervised or unsupervised, from data that is either structured or labelled.</p><p>It is one of the hottest trends in machine learning at the moment and there are many problems where deep learning shines, such as Self Driving Cars, Natural Language Processing, Machine Translations, image recognition and Artificial Intelligence (AI) and so on.</p><ul><li> You will  start with RStudio by learning how to first prepare your workspace </li><li>Load data and move to exploring and preprocessing the data. </li><li>Normalize and split the data into training and test sets.
</li><li>Construct your deep learning model</li><li>Compile and fit the model to your data</li><li>Predict target values based on test data and</li><li>Evaluate your model and interpret the results</li></ul>

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Deep Learning with Keras and Tensorflow

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Deep Learning with Keras and Tensorflow

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