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Deep Learning, also known as Deep Learning, is one aspect of artificial intelligence that depends on representations of data rather than task-specific algorithms. It allows the user to perform supervised, semi-supervised and unsupervised learning.

Deep Learning is inspired by the way humans process information and then communicate through their own biological neural networks. These learning algorithms are capable of processing large amounts of data, taking these data sets and constructing essential meaning. It is an extension of machine learning, which allows the user to develop broader and deeper solutions, as opposed to highly task-specific ones, through its artificial neural networks.A complete Deep Learning course

In this training you will discover a robust structure cut in two parts representing the two branches of Deep Learning: Supervised Deep Learning and Unsupervised Deep Learning. The courses include a mixture of theoretical subjects, maths and code. You will also find a practical side in the form of real data sets and resolution real problems.

If you are afraid of being lost or have additional questions during the course, don’t panic, continuous support will be possible throughout the training.

Finally, this training is aimed at any type of profile, whether you are a complete beginner or already have experience in Deep Learning. Exceptionally, an 89% reduction is applied to this course so don’t hesitate any longer and take advantage of this exceptional offer.

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