Don't miss the unique opportunity to increase your level of specialization in Model Customization with TensorFlox thanks to this Postgraduate certificate in just 6 weeks”  

Modern engineering is constantly evolving, and Deep Learning has proven to be an essential tool for data processing and complex problem solving. In this context, this program is designed to meet the increasing demand for highly qualified professionals in this area. Therefore, the program has been specifically designed to respond to the current needs of the market, offering students quality teaching in model customization with TensorFlow, one of the most widely used Deep Learning platforms today. 

This way, topics such as the understanding of deep learning algorithms, model optimization and algorithm customization with TensorFlow are addressed throughout the program. In addition, knowledge of TensorFlow tools is covered in depth, as well as the ability to interpret, visualize and present results of customized models. At the end of the course, students will have a solid, practical understanding of how to customize and adapt Deep Learning models to meet specific business or project needs.

In order to facilitate student learning, TECH has developed a comprehensive program based on the unique Relearning methodology. This methodology focuses on the progressive and natural repetition of the fundamental concepts so that the graduate integrates this knowledge effectively. In this way, the student will acquire the necessary competencies by adjusting the pace of study to their own life. 

In order to simplify the professional's learning process, TECH has designed its program in a completely online format. This way, the student can focus exclusively on their studies without the need to travel or adjust to a fixed schedule. In addition, they can access the theoretical and practical content from anywhere and at any time, all they need is a device with Internet connection. 

You are in front of a unique program that will help you boost your professional success so that you can become part of the biggest technology companies of the moment”

This Postgraduate certificate in Model Customization with TensorFlow 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

No attendance, fixed schedules or uncomfortable commuting. All advantages for you with this TECH program”

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.

Master the use of optimization techniques for training and customization of models and algorithms with this unique academic program"

A program that will allow you to delve into graphic optimization with TensorFlow operations and perform efficient training parameter management"

In all its programs, TECH applies the Relearning methodology, which allows students to integrate the most important concepts through repetition in different formats throughout the program. Thanks to this, the engineer will avoid the need to spend long hours studying and memorizing, allowing learning to be more progressive and natural. Students who choose to study any of these programs will have access to an advanced and complete syllabus, which includes innovative multimedia content. This way, TECH guarantees graduates a unique academic experience, adapted to the demands and needs of today's labor market. 

Access from your preferred device to the most complete and up-to-date syllabus on Model Customization with TensorFlow in the academic panorama”   

Module 1. Model Customization and Training with TensorFlow

1.1. TensorFlow

1.1.1. Use of the TensorFlow Library
1.1.2. Model Training with TensorFlow
1.1.3. Operations with Graphics in TensorFlow

1.2. TensorFlow and NumPy

1.2.1. NumPy Computational Environment for TensorFlow
1.2.2. Using NumPy Arrays with TensorFlow
1.2.3. NumPy Operations for TensorFlow Graphics

1.3. Model Customization and Training Algorithms

1.3.1. Building Custom Models with TensorFlow
1.3.2. Management of Training Parameters
1.3.3. Use of Optimization Techniques for Training

1.4. TensorFlow Functions and Graphics

1.4.1. Functions with TensorFlow
1.4.2. Use of Graphics for Model Training
1.4.3. Graphics Optimization with TensorFlow Operations

1.5. Data Loading and Pre-processing with TensorFlow

1.5.1. Loading Data Sets with TensorFlow
1.5.2. Data Pre-processing with TensorFlow
1.5.3. Using TensorFlow Tools for Data Manipulation

1.6. The tf.data API

1.6.1. Using the tf.data API for Data Processing
1.6.2. Construction of Data Flows with tf.data
1.6.3. Using the tf.data API for Models Training

1.7. The TFRecord Format

1.7.1. Using the TFRecord API for Data Serialization
1.7.2. Loading TFRecord Files with TensorFlow
1.7.3. Using TFRecord Files for Models Training

1.8. Keras Pre-processing Layers

1.8.1. Using the Keras Pre-processing API
1.8.2. Construction of Pre-processing Pipelined with Keras
1.8.3. Using the Keras Pre-processing API for Models Training

1.9. The TensorFlow Datasets Project

1.9.1. Using TensorFlow Datasets for Data Loading
1.9.2. Data Pre-processing with TensorFlow Datasets
1.9.3. Using TensorFlow Datasets for Models Training

1.10. Construction of a Deep Learning Application with TensorFlow Practical Application

1.10.1. Construction of a Deep Learning Application with TensorFlow
1.10.2. Model Training with TensorFlow
1.10.3. Use of the Application for Results Forecasting

An educational program designed by specialists to give you an in-depth understanding of Model Customization with TensorFlow”