University certificate
The world's largest faculty of engineering”
Introduction to the Program
With the completion of this exclusive academic program you will work on improving your skills in different types of optimizers in a totally online format”
The Deep Learning is one of the areas of Engineering that is constantly evolving, and has become a fundamental tool for solving complex problems. In addition, Deep Neural Network Training is an essential technique within this field and is used in a wide variety of applications, from computer vision to natural language processing. As the amount of data and the complexity of the problems to be solved increases, it is necessary to have highly qualified professionals in this area. For this reason, this TECH program has been designed to meet the growing demand for professionals with experience in the implementation and training of deep neural network models.
Therefore, the program focuses on providing students with solid training in the theoretical and practical fundamentals of Deep Neural Network Training, including neural network architecture, reinforcement learning and model optimization. In this way, students will have the opportunity to learn cutting-edge tools such as TensorFlow and PyTorch, and apply their knowledge in Deep Learning practical projects.
With the objective of improving student learning, TECH has created a complete program based on the exclusive Relearning methodology. This teaching process was conceived so that the graduate integrates the fundamental concepts in a natural and progressive way through repetition. In this way, the student will acquire the necessary skills while adjusting the pace of study to their daily life.
TECH has created an online program so that the professional can focus on learning without having to worry about travel or fixed schedules. The student will have access to the theoretical and practical contents at any time and from anywhere, as long as they have a device with an Internet connection. Therefore, the learning process will be more comfortable and accessible.
Access and download detailed videos, clinical case analyses, interactive summaries and other complementary material of great interest”
This Postgraduate certificate in Deep Neural Network Training 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
Access a multimedia library full of materials in different audiovisual media that will facilitate the integration of knowledge so that you can apply it in your daily work life immediately”
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 able to download all the content to your electronic device from the Virtual Campus and consult it whenever you need it"
The best program in the current academic market is now available for you to delve deeper into the learning cycles through dozens of hours of theoretical, practical and additional content"
Syllabus
TECH uses the effective Relearning methodology in all its programs, with which the student will be able to integrate the most important concepts through repetition in different formats throughout the program. In this way, the hours of orthodox study and memorization are reduced, moving on to a progressive and natural acquisition of knowledge. Therefore, the professional who decides to take this program will have an advanced and complete syllabus, which also presents innovative multimedia content. In this way, the graduate is guaranteed a unique academic experience, adapted to the demands and needs of today's labor market.
A multidisciplinary and dynamic Postgraduate certificate, perfect for updating your knowledge of stochastic gradients and learning transfer training”
Module 1. Deep Neural Network Training
1.1. Gradient Problems
1.1.1. Gradient Optimization Techniques
1.1.2. Stochastic Gradients
1.1.3. Weight Initialization Techniques
1.2. Reuse of Pre-trained Layers
1.2.1. Learning Transfer Training
1.2.2. Feature Extraction
1.2.3. Deep Learning
1.3. Optimizers
1.3.1. Stochastic Gradient Descent Optimizers
1.3.2. Adam and RMSprop Optimizers
1.3.3. Moment Optimizers
1.4. Learning Rate Scheduling
1.4.1. Automatic Learning Rate Control
1.4.2. Learning Cycles
1.4.3. Smoothing Terms
1.5. Over-Adjustment
1.5.1. Cross Validation
1.5.2. Regularization
1.5.3. Evaluation Metrics
1.6. Practical Guidelines
1.6.1. Model Design
1.6.2. Selection of Assessment Metrics and Parameters
1.6.3. Hypothesis Testing
1.7. Transfer Learning
1.7.1. Learning Transfer Training
1.7.2. Feature Extraction
1.7.3. Deep Learning
1.8. Data Augmentation
1.8.1. Image Transformations
1.8.2. Synthetic Data Generation
1.8.3. Text Transformation
1.9. Practical Application of Transfer Learning
1.9.1. Learning Transfer Training
1.9.2. Feature Extraction
1.9.3. Deep Learning
1.10. Regularization
1.10.1. L1 and L2
1.10.2. Maximum Entropy Regularization
1.10.3. Dropout
A unique program structured for you to achieve proficiency in Deep Neural Network Training in Deep Learning ”
Postgraduate Certificate in Deep Neural Network Training in Deep Learning
The constant technological progress that has marked the current era has led to the development of new forms of information processing. In this context, deep learning has established itself as a fundamental tool for the analysis and processing of large amounts of data. The ability of deep neural networks to detect complex patterns in data, as well as their versatility for implementation in different areas, have generated a growing demand for professionals trained in the field. At TECH Global University, we have designed our Postgraduate Certificate in Deep Neural Network Training in Deep Learning, which is focused on training professionals in the use of these techniques.
In our program you will address the fundamental concepts of deep learning, including the most commonly used neural network models and the training algorithms used. Advanced optimization and regularization techniques will also be covered, allowing you to design and implement effective deep neural network models. You will also learn about the application of deep neural networks in different areas, such as image processing, speech recognition, machine translation and natural language processing. At the end of the course, you will have the necessary tools to apply these techniques in different professional fields and contribute to the resolution of complex problems.