Delivered either online or on-site, our instructor-led live TensorFlow courses employ interactive discussions and practical exercises to illustrate how the TensorFlow system supports machine learning research. These sessions are designed to simplify the progression from research prototypes to robust production systems.
TensorFlow training is offered in both "online live" and "onsite live" formats. Online live training, also referred to as "remote live training," takes place through an interactive remote desktop environment. Onsite live training can be conducted at the client's facilities in Gaia or within NobleProg's corporate training centers in Gaia.
NobleProg -- Your Local Training Provider
Holiday Inn Porto - Gaia
220, Rua Diogo Macedo, 220, Vila Nova de Gaia 4400-107 , Gaia, Portugal
From Porto by Metro
If you're coming from Porto city centre:
Take the Metro Line D (yellow line) toward Vila d’Este.
Get off at João de Deus.
From João de Deus, walk about 13 minutes to: Rua Diogo Macedo 220, 4400-107 Vila Nova de Gaia.
From Vila Nova de Gaia train station
If by “local train station” you mean Vila Nova de Gaia-Devesas:
The address is approximately 12 minutes walking from Vila Nova de Gaia station according to the accommodation's location information.
You can therefore walk directly rather than taking the metro.
Directed by an instructor, this live training in Gaia (accessible online or on-site) is designed for advanced professionals seeking to expand their proficiency in computer vision. It highlights how to harness TensorFlow's potential within Google Colab to engineer advanced vision models.
By the conclusion of this programme, participants will have the capability to:
Construct and train convolutional neural networks (CNNs) with TensorFlow.
Exploit Google Colab for efficient and scalable cloud-based model creation.
Execute image preprocessing methods relevant to computer vision tasks.
Integrate computer vision models into real-world operational contexts.
Leverage transfer learning to boost the efficacy of CNN models.
Interpret and visualize data from image classification outputs.
This instructor-led, live training in Gaia (online or onsite) is aimed at intermediate-level data scientists and developers who wish to understand and apply deep learning techniques using the Google Colab environment.
By the end of this training, participants will be able to:
Set up and navigate Google Colab for deep learning projects.
Understand the fundamentals of neural networks.
Implement deep learning models using TensorFlow.
Train and evaluate deep learning models.
Utilize advanced features of TensorFlow for deep learning.
This instructor-led, live training in Gaia (online or onsite) is designed for data scientists who wish to utilise TensorFlow to analyse potential fraud data.
By the end of this training, participants will be able to:
Create a fraud detection model in Python and TensorFlow.
Build linear regressions and linear regression models to predict fraud.
Develop an end-to-end AI application for analysing fraud data.
This instructor-led live training in Gaia (online or onsite) is designed for developers and data scientists seeking to utilize TensorFlow 2.x to build predictors, classifiers, generative models, neural networks, and similar applications.
By the end of this training, participants will be able to:
Install and configure TensorFlow 2.x.
Understand the benefits of TensorFlow 2.x over previous versions.
Build deep learning models.
Implement an advanced image classifier.
Deploy a deep learning model to the cloud, mobile and IoT devices.
This 35-hour course on Gaia explores the fundamentals of deep neural networks, including CNNs, RNNs, and generative models such as GANs. Participants will gain practical experience with Theano and TensorFlow, learning to build, train, and deploy production-grade deep learning models for real-world applications.
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Testimonials (1)
The training was organized and well-planned out, and I come out of it with systematized knowledge and a good look at topics we looked at
Magdalena - Samsung Electronics Polska Sp. z o.o.
Course - Deep Learning with TensorFlow 2
Provisional Upcoming Courses (Contact Us For More Information)
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