Let's solidify the idea of using time-interval, dependent information to inform sequential predictions with another conceptual example, where such information is considered crucial for accurate predictions. Consider how a human drummer, for example, must execute a precise sequence of motor commands corresponding to a precise flow of rhythm. They time their actions and count their progressions in a sequentially dependent order. Here, the information representing patterns of generated sequences is, at least partially, conveyed through the time delays between these respective events. Naturally, we would be interested in artificially replicating the sophisticated sequence modeling task occurring in such interactions. In theory, we could even use such an approach to sample novel rhyming schemes from computer-generated poetry, or create robot athletes...
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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