Master the future of technology with this postgraduate diploma in Neural Networks and Deep Learning Training” 

Artificial Intelligence has become one of the most influential technologies today, and its use has spread to numerous sectors, from healthcare to manufacturing to retail. In this sense, the training of artificial neural networks is a fundamental component of AI and is essential for the development of complex algorithms that can learn and improve through experience.  

In this context, the postgraduate diploma in Neural Networks and Deep Learning Training is a TECH program designed to provide practical skills in cutting-edge technologies, such as TensorFlow and Keras. Similarly, students will specialize in implementing advanced deep learning solutions in Python.  

In addition, the degree is designed to be 100% online, allowing students to complete the program according to their own schedule. The Relearning pedagogical methodology is also a highlight of the degree, as it focuses on experiential learning and practical problem solving to better internalize the concepts. Likewise, students will have great flexibility, with dynamic study resources that they can organize at their convenience.

Design and train complex neural network algorithms to solve real-world problems.What are you waiting for to enroll?”

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 practical cases presented by experts in Neural Networks and Deep Learning Training 
• The graphical, 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

Enroll in this postgraduate diploma and boost skills in building deep learning models and advanced solutions for your projects”

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.

Delve into the world of deep learning and discover how Artificial Intelligence is transforming society"

Specialize by consulting dynamic case studies, interactive diagrams or in-depth videos on how to train artificial networks"

By enrolling in this 450-hour educational program, students will have the opportunity to develop skills and knowledge that will allow them to make significant progress in the field of Deep Learning. Thus, TECH focuses on providing innovative and easily accessible pedagogical tools to help students achieve their goals. In addition, it has a team of outstanding and recognized professors in the field of AI, which guarantees a high quality preparation.

Boost your career in IT by proposing innovative solutions to Gradient problems”

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 Neural Networks Training

• Analyze gradient problems and how they can be avoided 
• Determine how to reuse pre-trained layers to train deep neural networks 
• Establish how to program 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 graphics and custom graphs 
• Fundamentally use the tf.data API to load and preprocess 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

Develop CNN architectures with Keras and excel in Deep Learning”