Improve your skills and acquire new competences on Model Customization with TensorFlow, thanks to the largest digital university in the world, thanks to TECH"

Model Customization with TensorFlow is fundamental to success in machine learning. It allows you to adapt models to specific project needs, improve model efficiency and performance, or experiment with different approaches to solve a problem. It is an essential skill for any professional working in the field of machine learning and is fundamental to advance the development of new applications and solutions.

For this reason, TECH has designed a Postgraduate certificate in Model Personalization with TensorFlow with which it seeks to provide students with the necessary skills and competencies to be able to perform their work. Thus, throughout this program, aspects such as the Use of the Library, the Use of Optimization Techniques for Training or the Numpy Computational Environment will be addressed.

All this, thanks to a convenient 100% online mode that allows students to organize their schedules and their studies, combining them with their other daily tasks and interests. In addition, 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 goals quickly and efficiently.

Become an expert in Numpy Computational Environment in only 6 weeks and with total freedom of organization” 

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 practical cases presented by experts in Personalization of Modeling with TensorFlow
• The graphic, schematic and practical contents of the program provide Sports 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

Maximize your professional profile in one of the most promising areas of the IT field, thanks to TECH and the most innovative materials on the market”

The program's teaching staff includes professionals from the sector who bring to this training the experience of their work, as well as renowned specialists from reference 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 students will be assisted by an innovative interactive video system developed by renowned experts.

Take advantage of all the content on Training Parameter Management from your Tablet, mobile or computer.Deepen the use of the Application for Predicting Results from the comfort of your home and at any time of the day"

Learn how to use the Results Prediction Application from the comfort of your home at any time of the day"

The structure and all the didactic resources of this study plan have been designed by the renowned professionals that make up TECH's team of experts in the area of Computer Science. These specialists have used their extensive experience and their most advanced knowledge to create practical and completely updated contents. All this, based on the most efficient the most efficient pedagogical methodology, TECH's Relearning.

The most up-to-date and complete view on Model Customization with TensorFlow is given to you by TECH"

Module 1. Model Customization and training with TensorFlow

1.1. TensorFlow

1.1.1. Using the TensorFlow library
1.1.2. Model Education with TensorFlow
1.1.3. Operations with graphs 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 graphs

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 graphs

1.4.1. Functions with TensorFlow
1.4.2. Use of graphs for model training
1.4.3. Optimization of graphs with TensorFlow operations

1.5. Data loading and preprocessing with TensorFlow

1.5.1. Loading of datasets with TensorFlow
1.5.2. Data preprocessing 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. Constructing data streams with tf.data
1.6.3. Use of the tf.data API for training models

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 training models

1.8. Keras preprocessing layers

1.8.1. Using the Keras preprocessing API
1.8.2. Construction of preprocessing pipelined with Keras
1.8.3. Using the Keras preprocessing API for model training

1.9. The TensorFlow Datasets project

1.9.1. Using TensorFlow Datasets for data loading
1.9.2. Data preprocessing with TensorFlow Datasets
1.9.3. Using TensorFlow Datasets for Model Training

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

1.10.1. Building a Deep Learning application with TensorFlow
1.10.2. Training a model with TensorFlow
1.10.3. Use of the application for the prediction of results 

Thanks to the most efficient pedagogical methodology, you will be able to acquire new knowledge in a precise way and without spending too much time studying”