{"id":75553,"date":"2023-01-11T16:00:31","date_gmt":"2023-01-11T15:00:31","guid":{"rendered":"https:\/\/eiposgrados.com\/?p=75553"},"modified":"2023-01-11T16:50:49","modified_gmt":"2023-01-11T15:50:49","slug":"deeplearning-for-python","status":"publish","type":"post","link":"https:\/\/eiposgrados.com\/eng\/blog-python\/deeplearning-para-python\/","title":{"rendered":"Deeplearning for Python"},"content":{"rendered":"

He <\/strong>deeplearning<\/strong><\/em> It is a technology that never stops surprising<\/strong>. Its applications are innumerable and help speed up work in almost all sectors. And all this thanks to the possibilities it offers Python<\/strong>. Do you want to know the essential bases and keys? Pay attention!<\/p>\n\n\n\n

What does the deeplearning<\/strong><\/em>?<\/h2>\n\n\n\n

It is a subfield of machine learning that tries to imitate the structure and functioning of the human brain<\/strong>, above all, its neural networks. Thanks to data sets, the network is able to learn little by little. In this way, it is able to improve its performance, make basic decisions and offer more effective help.

Python <\/strong>It is the most used programming language in this field (data science and machine learning). This is because It has numerous libraries and <\/strong>frameworks<\/strong><\/em> support<\/strong>, such as TensorFlow, PyTorch and Keras. By employing both, developers easily deploy and train the models they design.<\/p>\n\n\n

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Deep learning is used in a wide range of applications, such as image and speech recognition or natural language processing. So, professionals of all types benefit from highly useful tools<\/strong>. All thanks to the processing of a huge amount of data and the conclusions that are offered.

Besides, information processing takes place at several levels<\/strong>, which facilitates its analysis. To do this, the algorithm breaks down the data and examines it in a way similar to your brain. After this, it is capable of carrying out complex tasks following human-like training.<\/p>\n\n\n\n

How deep learning works<\/h3>\n\n\n\n

Broadly speaking, the algorithms intended for these tasks act in three layers:<\/p>\n\n\n\n