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

The importance of Deep Computer Vision with Convolutional Neural Networks lies in its ability to perform a wide variety of tasks in different fields. These techniques have revolutionized computer vision and have enabled significant advances in fields such as medicine, robotics, security, transportation and industry.

For this reason, TECH has designed a postgraduate certificate in Deep Computer Vision with Convolutional Neural Networks 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. Thus, throughout this program, aspects such as the Definition of the Input Layer, the Initialization of Weights or the VGG Architecture will be addressed. 

All this, through a convenient 100% online mode that allows students to organize their schedules and studies, combining them with their other work and interests of the day. 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 goals quickly and efficiently. 

Become an expert in Deep Computer Vision in only 6 weeks and with total freedom of organization”

This postgraduate certificate in Deep Computer Vision with Convolutional Neural Networks 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 Computer Vision with Convolutional Neural Networks
• 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 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
• Content that is accessible from any fixed or portable device with an Internet connection

Enhance your professional profile in one of the most promising areas in the IT field, thanks to TECH and the most innovative multimedia 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.

Learn how in use the 2D convolution Application from the comfort of your home at any time Moments the day"

Access all the content on Object Tracking Algorithms from your Tablet, mobile or computer and with total freedom to organize your studies"

The final objective of this postgraduate certificate in Deep Computer Vision with Convolutional Neural Networks is that the student acquires a precise update of his knowledge in this area. An update that will allow them to perform their 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.All this, thanks to TECH and a 100% online modality that gives total freedom of organization and schedules to the student.

ADelve into all the essentials of Image Processing Models, from the comfort of your home or work office” 

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

• Explore and understand how convolutional and clustering layers work for Visual Cortex architecture
• Develop CNN architectures with Keras
• Use pre-trained Keras models for object classification, localization, detection, and tracking, as well as semantic segmentation

Enroll now and gain new knowledge about Pooling types and CNN Architectures”