First things first, we will need a simulated environment. An environment is defined as the interaction space for a learning agent. For humans, an environment can be any play you go to in the course of a day. For an artificial agent, this will often be a simulated environment that we have engineered. Why is it simulated? Well, we could ask the agent to learn in real time, like ourselves, but it turns out that this is quite impractical. For one, we would have to design each agent a body and then precisely engineer its actions and the environments that they are to interact with. Moreover, an agent can train much faster in a simulation, without requiring it to be restricted to human time frames. By the time a machine completes a single task in reality, its simulated version could have completed the same task several times over, providing a better opportunity...
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You're reading from Hands-On Neural Networks with Keras
Niloy Purkait is a technology and strategy consultant by profession. He currently resides in the Netherlands, where he offers his consulting services to local and international companies alike. He specializes in integrated solutions involving artificial intelligence, and takes pride in navigating his clients through dynamic and disruptive business environments. He has a masters in Strategic Management from Tilburg University, and a full specialization in data science from Michigan University. He has advanced industry grade certifications from IBM, in subjects like signal processing, cloud computing, machine and deep learning. He is also perusing advanced academic degrees in several related fields, and is a self-proclaimed lifelong learner.
Read more about Niloy Purkait
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Niloy Purkait is a technology and strategy consultant by profession. He currently resides in the Netherlands, where he offers his consulting services to local and international companies alike. He specializes in integrated solutions involving artificial intelligence, and takes pride in navigating his clients through dynamic and disruptive business environments. He has a masters in Strategic Management from Tilburg University, and a full specialization in data science from Michigan University. He has advanced industry grade certifications from IBM, in subjects like signal processing, cloud computing, machine and deep learning. He is also perusing advanced academic degrees in several related fields, and is a self-proclaimed lifelong learner.
Read more about Niloy Purkait