Deep Recurrent Q network, as discussed in previous article, can be very helpful in building smart agents that remember their learning from distant past. This feature makes a Deep Recurrent Q network a valuable function approximator in building AI agents for Deep Reinforcement Learning.
Read the rest of the article at Mindboard’s Medium channel.
The objective of the project is to develop a smart deep-learning based solution, which possesses the capability to detect human faces in images / videos and mask them. The solution discussed in this article comprises of a set of open source tools and combining them together to form a pipeline, which processes a given video and outputs another video with faces masked in them.
Read the rest of the article at Mindboard’s Medium channel.