Thanks to the solid knowledge provided by this program, you will enter into this important branch of artificial intelligence focused on the construction of algorithms inspired by the functioning of the human brain with an effective methodology and in a 100% online format” 

Deep Learning is one of the main technologies behind artificial intelligence and has driven many advances in fields such as computer vision, natural language processing and robotics. For example, Amazon Alexa's voice recognition technology has a 95% accuracy rate based on this branch of AI. Therefore, it can be used to solve important problems in society, such as the early detection of diseases, the forecasting of natural disasters and the fight against climate change. For example, Deep Learning has been used to forecast the melting of glaciers with an accuracy of 96%. 

In this context, TECH has designed a comprehensive program in which students will delve into the principles of Deep Learning and delve into its mathematical foundations. Therefore, taking this program is an excellent option for professional growth due to the growing demand for professionals qualified in the area, the increase in investment in AI, its diverse applications, the resources and support communities available, the intellectual challenge it presents, and its potential for innovation. 

And to facilitate student learning, TECH has created this complete program based on the exclusive Relearning methodology. A teaching process designed for the graduate to integrate the fundamental concepts in a progressive and natural way through repetition. This way, they will acquire the necessary competencies by adjusting the study to their life style.   

All this is presented in a totally online format. In this way, the professional focuses only on their learning, without the need to travel or adjust to a pre-established timing. In addition, you can access the theoretical and practical content from anywhere and at any time, you only need a device with an Internet connection.   

Specialize in a booming sector with great projection and you will be able to excel in a wide variety of applications, such as computer vision, natural language processing, robotics and voice recognition”   

This postgraduate diploma in 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 Deep Learning 
• The graphic, schematic, and practical contents with which they are created, provide 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 

With the Relearning methodology you will acquire knowledge progressively and with total flexibility. A program that adapts to you”

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.   

Combine your personal and work responsibilities with your studies thanks to this postgraduate diploma. 100% flexible and online"

Learn how to perform evaluation metrics and determine Deep Learning optimization methods thanks to this exclusive program"

The knowledge acquired through the syllabus will allow the graduate to acquire a global perspective and get up to date in the key aspects of Deep Learning to achieve the proposed objectives. In this way, they will develop comprehensive skills in a field of engineering that is essential, global and highly versatile, which will lead the student towards excellence in a booming sector. In order to ensure student satisfaction, TECH has established a series of general and specific objectives that will guide the student towards success. 

Update your skills in supervised learning machines to improve your professional future. Now is always the best time” 

General Objectives

• Lay the foundation for 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
• Lay the foundation for the key concepts and main applications of deep learning
• Implement and optimizes neural networks with Keras
• Develop expertise in the training of deep neural networks
• Analyze the optimization and regularization mechanisms necessary for deep network training

Specific Objectives

Module 1. Deep Learning Mathematical Fundamentals

• Develop the chain rule for calculating derivatives of nested functions
• Analyze how new functions are created from existing functions and how the derivatives of these functions are computed
• Examine the concept of Backward Pass and how derivatives of vector functions are applied to learn automatically
• Learn how to use TensorFlow to build custom models
• Understand how to load and process data using TensorFlow tools
• Understand the key concepts of NLP natural language processing with RNN and attention mechanisms
• Explore the functionality of Hugging Face transformer libraries and other natural language processing tools to apply to vision problems
• Learn how to build and train autoencoder models, GANs, and diffusion models
• Understand how autoencoders can be used to efficiently encode data

Module 2. Deep Learning Principles

• Analyze how linear regression works and how it can be applied to neural network models
• Lay the foundations for optimizing hyperparameters to improve the performance of neural network models
• Determine how the performance of neural network models can be evaluated using the training set and the test set

Module 3. Neural Networks, the Basis of Deep Learning

• Analyze the architecture of neural networks and their principles of operation
• Determine how neural networks can be applied to a variety of problems
• Establish how to optimize the performance of deep learning models by tuning hyperparameters

You will achieve your objectives thanks to the aptitudes and skills that this postgraduate diploma provides you with, and you will be accompanied along the way by the best professionals”