Acquire new knowledge about Object Tracking Algorithms and Advantages of Pretrained Models, thanks to the best online university in the world according to Forbes"

Processing sequences are a fundamental technique in Deep Learning that has proven to be very effective in solving problems in different fields. These techniques allow neural networks to understand the temporal or spatial structure of the input data, which improves the accuracy of predictions and the quality of solutions.

For this reason, TECH has designed a postgraduate certificate in Deep Learning Processing Sequences with which it seeks to provide students with the necessary skills and competencies to be able to perform their work as specialists, with the highest possible efficiency and quality. Therefore, throughout this program, aspects such as Natural Language processing or Generative Models, Principal Component Analysis or Cross Validation will be addressed.

All this, through a convenient 100% online modality that allows students to organize their schedules and studies, combining them with their other work. In addition, this degree has the most complete theoretical and practical materials on the market, which facilitates the student's study process and allows them to achieve their objectives quickly and accurately.

Become an expert in Deep Learning in only 6 weeks and with total freedom to organize your schedule, so you can combine your studies with your other occupations”

This postgraduate certificate in Deep Learning Processing Sequences contains the most complete and up-to-date program on the market. The most important features include:

• The development of case studies presented by experts in Deep Learning Processing Sequences 
• The graphic, schematic and eminently practical contents of the book provide sporting and practical information on those disciplines that are essential for professional practice
• Practical exercises where self-assessment can be used to improve learning
• Its special emphasis on innovative methodologies  
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments 
• The availability of access to content from any fixed or portable device with an Internet connection 

Reach your maximum potential as an expert in Deep Learning Processing Sequences, thanks to TECH and the most innovative materials”

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

Its 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 an immersive education programmed to learn in real situations.

The design of this program focuses on Problem-Based Learning, by means of which the professional must try to solve the different professional practice situations that are presented throughout the academic course. For this purpose, the student will be assisted by an innovative interactive video system created by renowned experts. 

Access all RNN and CNN Practical Application content from your tablet, mobile or computer"

Delve into Partial Sequence Learning and Reinforcement Learning, from the comfort of your home and at any time of the day"

 

The purpose of this postgraduate certificate in Deep Learning Processing Sequences is that the student acquires a precise update of his knowledge in this area. An acquisition of new skills that will allow the student to work with the highest possible quality and efficiency. All this, thanks to TECH and a 100% online modality that gives total freedom of organization and schedules to the student.

Delve into all the essentials of Sequence Processing using RNN, from the comfort of your home or work office"

General Objectives

• Support the key concepts of mathematical functions and their derivatives
• Apply these principles to deep learning algorithms for machine learning 
• 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 
• Provide a rationale for the key concepts and main applications of deep learning
• Implementing and optimizing neural networks with Keras 
• Develop expertise in deep neural network training 
• Analyze the optimization and regularization mechanisms required for deep network training 

Specific objectives

• Analyze the architecture of neurons and recurrent layers
• Examine the various training algorithms for training RNN models
• Evaluate the performance of RNN models using accuracy and sensitivity metrics

Exceed your highest expectations, thanks to a unique program with the most complete theoretical and practical materials on the academic market”