Combine Deep Learning with Computer Vision thanks to this postgraduate diploma, which offers you all the latest developments in this booming technology"

Artificial intelligence has revolutionized the technological landscape. Its principles are applied in many areas and are of great importance in fields such as healthcare, which takes advantage of this technology to improve diagnostic processes and treatments. Deep Learning is an essential area in this whole process, since it is what determines how the machine learning work will be carried out. 

Therefore, by combining the potential of Deep Learning with another discipline such as computer vision, spectacular results can be obtained in all types of sectors. By combining these two specialties, a complete and in-depth visual data collection and reading is produced, perfecting the performance of complex technological tasks. This postgraduate diploma, therefore, offers the computer scientists the possibility of accessing the latest innovations in this area, so that they can incorporate new knowledge about neural networks and their activation functions, convolutional neural networks and object detection, among others, into their work. 

All of this is based on a 100% online teaching methodology that allows professionals to choose how, when and where to study, since it adapts to their personal circumstances. In addition, the computer scientist who completes this program will have access to the best multimedia content in the form of case studies, videos, master classes and multimedia summaries, among many other resources. In addition, the most experienced faculty will guide the entire process, ensuring that the professional receives the most up-to-date and practical knowledge.

Develop powerful computer vision tools from Deep Learning with this innovative and specialized educational program"

This postgraduate diploma in Deep Learning Applied to Computer Vision contains the most complete and up-to-date educational program on the market. The most important features include:

• The development of case studies presented by experts in Deep Learning, computer science and computer vision
• The graphic, schematic, and practical contents with which they are created, provide scientific and practical information on the 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 

You know that artificial intelligence is the present and the future. Do not miss this opportunity to learn about the latest advances in Deep Learning Applied to Computer Vision"

The program’s teaching staff includes professionals from the sector who contribute their work experience to this educational 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 student will be assisted by an innovative interactive video system created by renowned and experienced experts.    

This is the program you were looking for. Enroll now and progress professionally in the technology sector"

The best IT and technology companies are focusing all their efforts in these areas. Don't get left behind"

The main objective of this postgraduate diploma in Deep Learning Applied to Computer Vision is to provide the computer scientists with the latest tools in this field, so that they can face their professional practice with the best knowledge. Thus, at the end of this program, you will be in a position to develop all types of computer vision projects based on Deep Learning, which will place you as a reference in artificial intelligence in your environment. 

Your career goals are now within reach thanks to this high level qualification"

Objetivos generales

• Generate specialized knowledge about Deep Learning and analyze, why now?
• Introduce neural networks and examine how they work 
• Analyze metrics for proper learning 
• Understanding the mathematics behind neural networks 
• Develop convolutional neural networks. 
• Analyze existing metrics and tools 
• Examine the pipeline of an image classification network 
• Propose inference methods 
• Generate specialized knowledge about object detection neural networks and their metrics 
• Identify the different architectures 
• Establish use cases 
• Examine tracking algorithms and their metrics 

Specific Objectives

Module 1. Deep Learning 

• Analyze the families that make up the artificial intelligence world. 
• Compile the main Frameworks of Deep Learning 
• Define neural networks 
• Present the learning methods of neural networks 
• Fundamentals of cost functions 
• Establish the most important activation functions 
• Examine regularization and normalization techniques 
• Develop optimization methods 
• Introduce initialization methods 

Module 2. Convolutional Neural Networks and Image Classification 

• Generate specialized knowledge on convolutional neural networks 
• Establish evaluation metrics 
• Analyze the performance of CNNs for image classification 
• Evaluate Data Augmentation 
• Propose techniques to avoid Overfitting 
• Examine different architectures 
• Compile inference methods 

Module 3. Object Detection 

• Analyze how object detection networks work 
• Examine traditional methods 
• Determine evaluation metrics 
• Identify the main datasets used in the marketplace 
• Propose architectures of the Two Stage Object Detector type 
• Analyze Fine Tuning Methods 
• Examine different Single Shoot architectures 
• Establish object tracking algorithms 
• Apply detection and tracking of people  

Access the best career opportunities in the Deep Learning field thanks to this program"