Passion for Programming

With universal approximation theorem growing forward interms of Deep learning. Today we have deticated harware backends for machine learning backends. With many backend options available there are separate tool chains available for myraid deep learning backends. TVM open deep learning compiler stack is an effort in having a common software toolset to build models with harware backend abstracted. Do visit  here for more info : tvm.ai/about.

In ensemble learning we combine the output of multiple classifiers in order to on better prediction on classification accuracy. The classifcation of resultant classifer is better then the resultant classifier. We need a way to combine the output of multiple classifiers. First we generate a group of base learners. These learners will be using different algorithms.(say learner which uses a Dicision Tree,Neural Network, Support Vector Machine etc..), they could be same algorithms with different hyperparameters, could have different representations or may use different training sets. Muliple learner will give different classifications.