Neural Networks Course with Python

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Neural Networks Course with Python

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$427.00
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Duration

200 hours

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Language

Spanish

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carlos alvarez gonzález

Technical Engineer in Computer Science and teacher in ICT skills, with extensive experience in technical support, implementation of ERP systems and technological training.

Professional experience:

More than 15 years of experience in the technological field as a consultant, analyst-programmer and ICT trainer. Specialized in implementation and support of ERP systems (SAGE), training in digital skills and maintenance of computer systems. Recent experience as a teacher in ICT skills in training projects of the Junta de Andalucía, accumulating more than 600 hours of face-to-face training.

Professional skills:

ERP systems and technical support (SAGE), Training in ICT skills, Computer programming, analysis and maintenance, Quality management (UNE-EN-ISO 9001).

Technical Engineer in Computer Science and teacher in ICT skills, with extensive experience in technical support, implementation of ERP systems and technological training.

Professional experience:

More than 15 years of experience in the technological field as a consultant, analyst-programmer and ICT trainer. Specialized in implementation and support of ERP systems (SAGE), training in digital skills and maintenance of computer systems. Recent experience as a teacher in ICT skills in training projects of the Junta de Andalucía, accumulating more than 600 hours of face-to-face training.

Professional skills:

ERP systems and technical support (SAGE), Training in ICT skills, Computer programming, analysis and maintenance, Quality management (UNE-EN-ISO 9001).

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Neural Networks Course with Python

Información adicional del Online COURSE

Neural Networks Course with Python

6 months de tutorización

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Course information

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Course information

Description
This Neural Networks with Python Course covers everything from the fundamentals to advanced applications of neural networks with Python. Key concepts of artificial neurons, model training and optimization are explored, using popular libraries such as TensorFlow and Keras. You will learn about deep (DNN), convolutional (CNN) and recurrent (RNN/LSTM) networks, with a practical focus on using techniques such as regularization, activation functions and backpropagation. Additionally, the course introduces Generative Adversarial Networks (GAN) and autoencoders, applying these models to real problems such as image processing and time series. You will be able to master the field of artificial intelligence and neural networks.

Job opportunities

At the end of this Neural Networks with Python Course, you will be able to work in the development of neural networks, machine learning engineering, data science or an artificial intelligence specialist. You will have the ability to design and apply advanced solutions in sectors such as technology, healthcare, financial analysis and image processing.

What does it prepare you for?

The Neural Networks with Python Course prepares you to design, implement and optimize neural network models in Python. It will provide you with the skills necessary to apply deep, convolutional, and recurrent networks to complex classification, prediction, and data generation problems. In addition, it will allow you to address challenges in the field of artificial intelligence, working with libraries such as TensorFlow and Keras.

Who is it addressed to?

The Neural Networks with Python Course is aimed at developers, data science professionals, software engineering, and students with an interest in machine learning. It is also suitable for artificial intelligence professionals who wish to specialize in neural networks and their practical application in machine learning projects.

Objectives

- Understand the structure and functioning of artificial neurons and neural networks. - Apply backpropagation algorithms and optimization techniques in neural networks. - Implement neural networks in Python using libraries such as Keras and TensorFlow - Develop deep network models for data classification and regression. - Build convolutional networks and apply them in image processing. - Understand the use of recurrent networks in temporal sequences and LSTM. - Explore the implementation of GANs and autoencoders for data generation.

Neural Networks Course with Python

$427.00