Improve your skills on Metric Setting or Loss Function, thanks to the best online university in the world according to Forbes, thanks to TECH”

As Deep Learning becomes more popular and accessible, neural networks have become a powerful tool for solving complex machine learning problems. One of the many advantages of this system is its ability to learn and improve with data. 

TECH has designed a postgraduate certificate in Neural Networks in Deep Learning with the aim of providing students with the necessary skills and competencies to be able to work as specialists with the highest possible efficiency and quality. In this program, aspects such as Optimizer Selection, Model Training,  Learning Rate  or Weight Adjustment 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 day-to-day work and interests. Moreover, 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 efficiently.

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

This postgraduate certificate in Neural Networks 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 neural network in deep learning 
• The graphic, schematic and practical contents of the program provide Rehabilitation and practical information on those disciplines that are essential for professional practice
• Practical exercises where the self-assessment process can be carried out to improve learning 
• Its special emphasis on innovative methodologies  
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection work
• 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 of the IT sector 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.  

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 This will be done with the help of an innovative system of interactive videos made by renowned experts.

Access all the content on Deep Learning Types from your Tablet, mobile or computer”

Delve into the Layer Connection and Network Training from the comfort of your home at any time of the day”

The final objective of this postgraduate certificate in Neural Networks in Deep Learning is that the student acquires a precise update of his knowledge in this area. An update 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.

Achieve the objectives of this title and master Network Design and Optimizer Selection”

General Objectives

• Understand the key concepts of mathematical functions and their derivatives
• Apply these principles to deep learning algorithms for automatic 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 
• Understand the key concepts and the main applications of deep learning
• Implement and optimizing neural networks with Keras 
• Develop expertise in deep neural network training 
• Analyze the optimization and regularization mechanisms necessary for the training of deep networks

Specific Objectives

• Develop the chain rule for calculating derivatives of nested functions
• Analyze how to create new functions from existing functions and how to calculate their derivatives
• Examine the concept of Backward Pass and how the derivatives of vector functions are applied to automatic learning 
• Learn about how to use TensorFlow to build custom models
• Understand how to load and process data using TensorFlow tools
• Establish the key concepts of NLP natural language processing with RNNs and attention mechanisms. and attention mechanisms 
• Explore the functionality of Hugging Face's transformer libraries and other natural language processing tools for application to vision problems 
• Learn to build and train autoencoder models, GANs and diffusion models
• Understand how autoencoders can be used to efficiently encode data

Delve into all the essentials of Neural Networks in Deep Learning, from the comfort of your home or work office”