With this Relearning-based Postgraduate certificate, you will create models for natural language processing that can analyze and understand text in different languages"

Model Customization with TensorFlow is crucial to ensure the success of Machine Learning projects. This system gives professionals the opportunity to adapt systems to the specific needs of the plans, while at the same time improving their performance and performing tests from different prisms with the aim of solving problems. In this situation, professionals need to update their content in this area frequently to stay at the forefront of technology and propose highly innovative solutions. However, this updating can become a challenge for experts due to the scarcity of specific teaching programs in this area.

For this reason, TECH implements the most complete and renewed Postgraduate certificate in Model Personalization with TensorFlow in the academic market. Developed by specialists in Deep Learning, the educational itinerary will delve into key concepts such as the use of NumPy arrays, data processing or the construction of information flows with tf.data. Graduates will be able to immediately add the most cutting-edge techniques to their daily practice in order to accelerate the learning and prediction process, which is particularly important in real-time applications. In addition, throughout the program, students will gain new skills for optimizing graphs with operations and building custom models. 

The program is delivered in a completely online mode, which allows students to distribute the course load according to their needs. In addition, the methodology in which it is taught, Relearning, is based on the repetition of fundamental concepts throughout the syllabus, so that developers will integrate the knowledge in a natural, efficient and progressive way, without the need to invest extra hours in memorization. 

You will control Keras Preprocessing Layers through 150 hours of the best online teaching"

This Postgraduate certificatein 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 Model Customization 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 the self-assessment process can be carried out 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

Do you want to experience a leap in quality in your career? This program will enrich your praxis with the most advanced API techniques for data serialization”

The program’s teaching staff includes professionals from the sector who contribute their work experience to this program, as well as renowned specialists from leading societies and prestigious universities. 

The 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 immersive education programmed to learn in real situations. 

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year For this purpose, the students will be assisted by an innovative interactive video system created by renowned and experienced experts.  

You will access knowledge in which you will learn at your own pace thanks to the Relearning teaching system implemented by TECH"

You will achieve your educational objectives thanks to TECH's didactic tools, including interactive summaries of each module"

Under an eminently practical approach, this academic path will provide students with a solid understanding of Model Customization using TensorFlow. To this end, the academic materials will delve into fundamental issues such as operations with graphs or the management of training parameters. Throughout the program, students will acquire new skills for optimal data manipulation based on the tf.data API. In addition, the syllabus will analyze the construction of the preprocessing pipeline with Keras, with which graduates will automate workflows to optimize the performance of learning algorithms. 

This university program will make you a more complete expert, prepared to face the current challenges in Deep Learning Model Training"

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 Pipeline 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 App 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 expand your knowledge in a precise way. And in just 6 weeks!"