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- 270 Pages - 06/23/2019 (Publication Date) - BAAE Publishing (Publisher)
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FAQ:
Q: What is the neural network book PDF all about?
A: The neural network book pdf will consist of a plethora of examples for deep learning with context to computer vision, text, and sequences. The book also has a history of deep learning and the authorβs insight into the same.
Q: Why do we need to learn neural networks?
A: The neural network is necessary for computing, storing, and analyzing data in all sectors of business. The students, who are learning neural networks, often find it difficult to understand and relate to.
Q: What are artificial neural networks and how do they work?
A: Artificial neural networks are now being used for speech recognition, playing board and video games, medical diagnosis, machine translation, social network filtering, and computer vision. Artificial neural networks are slowly growing to be the future of computing and AI, thus it is crucial that you know it to stay on top of the industry.
Q: What is the difference between conventional computing and neural networks?
A: Unlike conventional computing, where the software is given task-specific rules and guidelines, neural networks are rather given examples through which it will βlearnβ to perform tasks. An artificial neural network has three parts, these three parts are input, hidden, and output.
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