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A new revolution is here

Transform data complexes at solutions intelligent. Domina the CNNs y RNNs.

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    PROGRAM SPECIALIZED

    CONVOLUTIONAL & RECURRENT NEURAL NETWORKS

    The Convolutional & and Recurrent Neural Networks specialization program is an intensive 40-hour program that addresses two of the most important architectures in the field of deep learning: Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). With hands-on workshops and advanced techniques such as transformers, this course prepares participants to design efficient solutions in various areas of machine learning.

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    Teaching hours: 40h.

    Online live

    Language: Spanish

    Support: 12 months

    Convolutional & Recurrent Neural Networks

    OBJECTIVE

    You will learn how these networks work, their key applications, and how to implement them to solve problems in image classification, time series analysis and natural language processing.

    MODALITY

    Online live.

    DURATION

    40h.

    SUPPORT

    By mail for 12 months.

    1.500,00€ / VAT includedCOMPRAR

    Objectives

    Understand the fundamentals from the networks neuronal convolutional (CNNs).

    Identify optimal use cases of CNNs and their applications in image classification and time series analysis.

    Implement architectures advanced at CNNs.

    Learn the structure and applications of fully convolutional models and autoencoders.

    Understand the architecture y the operation from the networks neuronal recurring (RNNs).

    To analyze the structure of RNNs, the concept of memory and the vanishing gradient problem.

    Explore the architecture Transformer y your use at processing from language natural (NLP).

    You will be able to implement techniques to quantify uncertainty in predictions, a crucial step in sensitive applications where confidence in the results is essential.

    Develop skills practices at the implementation from models from CNNs y RNNs.

    This ability will allow you to focus on strategy and objectives, while the automated process finds the best settings and parameters for the model.

    Analyze cases from use practical from CNNs y RNNs at problems from world real.

    Identify how CNNs and RNNs are applied in various sectors, from computer vision to text processing and anomaly detection.

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    PROVIDED BY

    Valero Laparra

    D. in Artificial Intelligence, specializing in machine learning and generative models, Valero has more than a decade of experience in research and development of advanced deep learning algorithms.
    He is currently Professor and Researcher at the University of Valencia, where he leads projects in areas such as deep neural networks and unsupervised learning. He has worked on practical applications of generative models in areas such as computer vision, image generation and sequential data processing.
    His experience spans both academia and industry, and he has published numerous articles in prestigious journals on artificial intelligence. During this course, Valero will provide a comprehensive and practical overview of generative learning, guiding students in the implementation of state-of-the-art techniques.

    Convert your projects at applications from high impact.

    DOWNLOAD DOSSIER

    Learn how to implement CNNs and RNNs to solve real problems.

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    Official Certifications

    By completing our programs you will have the opportunity to obtain an official certification that will help you open doors in the professional world.

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    Questions Frequent

    No, our programs are designed to suit different levels of experience. We offer courses for both beginners who wish to enter the world of AI, as well as advanced professionals looking to specialize in specific areas of this technology.

    Yes, by completing any of our programs you will receive an official certification recognized at a professional level, which will validate your AI skills and knowledge, helping you stand out in the job market.

    Yes, all of our courses are fully online, allowing you to access the content at any time and from anywhere. In addition, you will have access to real-time tutoring and support to ensure a complete learning experience.

    It depends on the course you choose. Some programs are designed for beginners with no prior technical knowledge, while others require a background in programming or data science. Each course clearly states the entry requirements so you can choose the one that best suits you.

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