You will analyze consumer sentiment through intelligent algorithms, with the maximum scientific rigor of TECH: an institution at the forefront of technology"

A new study by prestigious researchers forecasts that the Natural Networks market will grow by 21.5% over the next few years, reaching an investment of 1.02 billion dollars. This reflects the relevance that this aspect of Deep Learning is acquiring in society. At this juncture, the development of neural architectures has enabled computers to learn to make informed decisions without human intervention, which opens up a wide range of applications. For example, Recurrent Neural Networks are used to develop virtual assistants or chatbots, which interact with users in natural language to provide the assistance they need.

In view of this reality, TECH is launching a postgraduate certificate in NLP Natural Language Processing with RNN. This program will provide students with the skills required to work as specialists in this field, with the highest parameters of efficiency and quality. Therefore, the syllabus will delve into the creation of the training dataset, as well as its proper storage. In this sense, the syllabus will analyze different applications of neural structures, such as the Encoder-Decoder Network for machine translation. In turn, the didactic materials will examine the handling of Transformer Models so that graduates will be able to capture complex relationships in data sequences. 

It should be noted that to the methodology of the program is supportedby the revolutionary Relearning teaching system. TECH is a pioneer in this learning model, based on the reiteration of content so that students enjoy expanding their knowledge and skills in a natural, flexible and progressive way. The only thing students will need is an electronic device capable of connecting to the Internet, in order to enter the Virtual Campus and access the most dynamic academic resources on the market.

Do you want to optimize your practical programming skills? With this course you will handle the most innovative Deep Learning libraries"  

This postgraduate certificate in Natural Language Processing NLP with RNN contains the most complete and up-to-date program on the market. The most important features include:

• The development of practical cases presented by experts in Natural Language Processing NLP with RNN
• The graphic, schematic and practical contents of the program provide Sports and practical information on those disciplines that are essential for professional practice
• Practical exercises where the self-assessment process can be carried out to improve learning
• Its special emphasis on innovative methodologies 
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

You will delve into the use of Attention Mechanisms, to improve the accuracy and robustness of your models"

The program’s teaching staff includes professionals from the sector who contribute their work experience to this program, as well as renowned specialists from leading societies and prestigious universities. 

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations. 

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year For this purpose, the students will be assisted by an innovative interactive video system created by renowned and experienced experts.  

You will control the Encoder-Decoder to incorporate neural machine translation into your projects"

TECH is a pioneer in the Relearning methodology, which will provide you with a flexible and progressive learning experience"

With this program, graduates will acquire a solid understanding of how Recurrent Neural Networks work. They will also equip their practice with innovative tools to build these architectures and model data streams. Throughout the university program, students will acquire practical skills that will lead them to correctly handle the Transformers. library. In this way, professionals will integrate state-of-the-art models in Natural Language Processing into their projects. They will also be highly qualified to provide solutions in tasks such as sentiment analysis in writing, to evaluate customer opinions on social networks.  

This university program will boost your career path by equipping you with the tools required to overcome today's challenges in Natural Language Processing”

General Objectives

• Fundamentalize the key concepts of mathematical functions and their derivatives
• Apply these principles to deep learning algorithms to learn automatically
• Examine the key concepts of Supervised Learning and how they apply to neural network models
• Analyze the training, evaluation and analysis of neural network models
• Fundamentals of the key concepts and main applications of deep learning
• Implement and optimize neural networks with Keras
• Develop expertise in the training of deep neural networks
• Analyze the optimization and regularization mechanisms required for deep neural network training

Specific Objectives

• Generating text using recurrent neural networks
• Train an encoder-decoder network to perform neural machine translation
• Developing a practical application of natural language processing with RNN and attention
• Understand the limitations and challenges in NLP, such as language ambiguity or bias in data sets

Resources such as explanatory videos or case studies will bring you closer to the working reality of implementing Transformational Models"