Can RPA help data scientists build deep learning model and predict from data?
The answer is YES. The Uber AI Labs team has open sourced Ludwig (A New Toolbox for Training Deep Learning Models Without Writing Any Code) that enable many of the fundamental building blocks of deep learning solutions. Ludwig can use a convolutional neural network(CNN) as an encoder and a recurrent neural network(RNN) as a decoder. Those decisions are based on the characteristics of the data and require minimum input from the data scientists. (Refer the below diagram) Problem Statement : Training is one of the most developer intensive aspects of deep learning applications. Typically, data scientists spend numerous hours experimenting with different deep learning models to better perform about a specific training data sets. This process involves more than just training including several other aspects such as model comparison, evaluation, workload distribution and many others. Given its highly technical nature, the training of deep learning models is an activity typically cons