Enroll now in a degree that will help you create the most Advanced Deep Learning algorithms"

The progress in the field of Deep Learning has been significant in recent years thanks to the development of new techniques and methodologies that allow training deep learning models with higher performance and efficiency. Therefore, there is a great demand for highly trained professionals in this area to apply these techniques to innovative and challenging projects, so the computer scientist of today is facing a fantastic opportunity.

That is why this postgraduate diploma in Advanced Deep Learning has been created, which consists of several thematic units that address the most relevant aspects of Deep Learning, from supervised learning to reinforcement learning and text generation. In addition, participants will have the opportunity to master advanced techniques such as the use of recurrent neural networks.

Likewise, the postgraduate diploma in Advanced Deep Learning is taught online, allowing students to access the degree content anytime, anywhere. Similarly, the pedagogical methodology of Relearning focuses on autonomous and directed learning through the reiteration of concepts, boosting the educational progress of students. In addition, the program offers great flexibility in organizing academic resources, allowing students to adapt their learning to their specific schedules and needs.

Stand out with a postgraduate diploma that will allow you to lay the foundations to replicate the success of AI companies such as OpenAI or DeepMind"

This postgraduate diploma in Advanced Deep Learning 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 Advanced Deep Learning
• The graphic, schematic and eminently practical contents with which it is conceived gather technological 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

Launch your career as a computer scientist creating advanced Deep Computer Vision models"

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.

You will be a reference when it comes to creating AI models that produce natural language with amazing quality"

You will undergo useful case studies that will enhance your skills to optimize an agent's policy"

By enrolling in this postgraduate diploma, students will have the opportunity to gain specialized skills and knowledge that will enable them to significantly advance in the field of Deep Learning. Aware of the complexity and ongoing challenges of this field, TECH focuses on providing innovative and accessible educational resources 24 hours a day to support students in achieving their goals. All this with the purpose of enabling them to successfully develop from home or anywhere in an area as competitive as Deep Learning.

It achieves the objectives set by the university and solves a large number of problems in the everyday sphere using AI"

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

Module 1. Deep Computer Vision with Convolutional Neural Networks

• 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

Module 2. NLP Natural Language Processing with RNN and Attention

• 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

Module 3. Reinforcement Learning

• Use gradients to optimize an agents policy.
• Evaluate the use of neural networks to improve the accuracy of an agent when making decisions.
• Implement different boosting algorithms to improve the performance of an agent.

You will have everything you need to develop CNN architectures with Keras”