TECH seeks to project your professional career without neglecting other areas of your life, that's why it offers you a program adapted to you with maximum flexibility” 

Research in Neural Networks and Deep Learning Training continues to be a dynamic area that offers a great number of opportunities for those who wish to make significant contributions to the understanding and application of these techniques. Therefore, they have been shown to be particularly effective in processing complex data and performing difficult tasks in a variety of fields, making them an indispensable tool for modern engineering. In addition, deep Neural Networks have a wide range of practical real-world applications, from image and speech recognition to financial analysis and fraud detection. 

In the same sense, they have the ability to process large volumes of data efficiently and accurately, which makes them ideal for applications in artificial intelligence and machine learning. Their ability to continuously learn and adapt to new data and situations makes them a very valuable tool for real-time decision making. In short, this is an exciting field that offers multiple opportunities for those who wish to acquire cutting-edge skills and knowledge in modern engineering. 
TECH has developed a comprehensive program based on its unique Relearning methodology to facilitate student learning in a progressive and natural way through repetition of fundamental concepts.

The program is presented in an online format so that the professional can focus on learning without having to worry about travel or fixed schedules. In addition, they can access the theoretical and practical content from anywhere and at any time, all you need is a device with Internet connection. 

Boost your professional career with a university qualification that will immerse you in the visual architecture of the Deep Computer Vision cortex”

This postgraduate diploma in Neural Networks and Deep Learning Training 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 

Distribute the course load according to your personal needs and combine the university program with professional work” 

The program’s teaching staff includes professionals in the sector who contribute their work experience to this educational 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. 

Delve in detail into tracking and tracing techniques and become the professional you have always wanted to be” 

Motivational videos, case studies, graphic and schematic contents, discussion forums, etc. Everything you need to take a leap forward in your professional career. Don't wait any longer” 

The student, by acquiring knowledge through the program, will obtain a global and up-to-date vision in the fundamental aspects of Neural Networks and Deep Learning Training, allowing them to achieve the established objectives. In this way, the student will develop comprehensive skills in an essential, versatile and constantly growing field of engineering, which will lead them to achieve excellence in a booming sector. In order to ensure student satisfaction, TECH has defined general and specific objectives that will serve as guide the student towards success. 

Develop your full potential and achieve your professional goals through the in-depth mastery of Adam and  RMSprop optimizers that you will develop with this program”

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 Neural Network Training 

• Analyze the gradient problems and how they can be avoided 
• Determine how to reuse pre-trained layers to train deep neural networks 
• Establish how to schedule the learning rate to obtain the best results 

Module 2. Model Customization and Training with TensorFlow 

• Determine how to use the TensorFlow API to define custom functions and graphs 
• Lay the foundations for using the tf.data API to load and pre-process data efficiently 
• Discuss the TensorFlow Datasets project and how it can be used to facilitate access to preprocessed datasets 

Module 3. 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 

You will achieve your goals thanks to the efficient tools you will acquire in this TECH postgraduate diploma”