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Deep Learning, also known as Deep Learning, is an aspect ofwhich depends on data representations 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 those datasets and constructing essential meaning. It is an extension of machine learning, which allows the user to develop broader and more in-depth solutions, as opposed to highly task-specific solutions, through its artificial neural networks.
A complete Deep Learning course
In this training you will discover a robust structure divided into two parts representing the two branches of Deep Learning: Supervised Deep Learning and Unsupervised Deep Learning. The courses bring together a mixture of theoretical subjects, maths and code. You will also find a practical side in the form of real data sets andreal problems.
If you are afraid of being lost or have additional questions during the course, do not panic, continuous support will be possible throughout the training.
Finally, this training is intended for all types of profiles, whether you are a complete beginner or already have experience in Deep Learning. Exceptionally, a 91% reduction is applied to this course so do not hesitate any longer, and take advantage of this exceptional offer.