The state of today’s deep learning: Short, wide, deep, but not high
A gentle guide to where we’re at with AI Comment Remember that kid in middle school who was deeply into Dungeons & Dragons, and hadn’t seen his growth spurt yet? Machine learning is sort of like that kid – deep, wide, and short – and not so tall. But on the serious side, machine learning today is useful for a wide variety of pattern recognition problems, including the following: Image classification. Speech processing. Handwriting recognition. Text processing. Threat assessment. Fraud detection. Language translation. Self-driving vehicles. Medical diagnosis. Robotics. Sentiment analysis. Stock trading. Deep learning, a subset of machine learning, has progressed rapidly during the past decade due to: Big data – an increased availability of large data sets for training and deployment has also driven the need for deeper nets.…
Link to Full Article: The state of today’s deep learning: Short, wide, deep, but not high
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