Deep Learning has made tremendous progress over the last few years. Researchers have been designing neural net architectures manually and have been successful in several complex tasks such as speech recognition, emotion detection, image and video classification, object detection, machine translation, and much more. However, manually created models are somewhat time-consuming and always have a…

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