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Deep Learning Using Python by S. Lovelyn Rose (.ePUB)

Posted March 7Mar 7

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📮 Deep Learning Using Python by S. Lovelyn Rose (.ePUB)

Deep Learning is an area that has garnered a lot of attention in recent past. It is a subdivision of Machine Learning. Machine Learning is a type of algorithm in which the user gives the input and expected output, and expects the machine to learn (find) the algorithm (model) to produce the desired (expected) output. This is in stark contrast to programming wherein we give the input and the algorithm produces the output. Machine Learning tasks take a set of data that is termed as dataset. The Machine Learning algorithm finds the patterns and inferences that can be made on the dataset. Learning the concepts of Deep Learning is not enough to handle real-time cases. Deep Learning Using Python aims at giving a hands-on experience on common Deep Learning applications using popular frameworks of the most suitable language, Python. There is no need for a reader to be a professional programmer. All the codes are simple and the exhaustive comments will help readers to understand of the available code. The readers will be able to solve AI problems using neural networks and Deep Learning architectures.