Delivered either online or on-site, our instructor-led live TensorFlow training sessions use interactive discussions and practical exercises to show how the TensorFlow framework supports machine learning research. The curriculum also focuses on simplifying and accelerating the transition from research prototypes to robust production systems.
We offer these programs as "online live training" or "onsite live training." The online live format (also referred to as "remote live training") is conducted through an interactive, remote desktop. Onsite live training takes place directly at client locations in Athens or within NobleProg's corporate training centers in Athens.
Take Metro Line 3 (M3) from Airport toward Dimotiko Theatro.
Get off at Evangelismos.
The address is on Vasilissis Sofias Avenue, very close to the station. Evangelismos station is directly on the avenue.
Allow roughly 40–50 minutes total, depending on waiting/walking time.
From Athens Central Railway Station (Larissa Station)
Take the metro to Syntagma and change to Line 3 toward Doukissis Plakentias/Airport.
Get off at Evangelismos.
Walk to No. 46.
By bus
There are several buses running along Vasilissis Sofias Avenue. Nearby stops include Rigilis Street and Syntagma, while the Evangelismos area is served by multiple bus routes.
The metro is generally the simplest option, especially if you're arriving with luggage.
This live, instructor-led training on Athens (delivered online or onsite) is tailored for advanced professionals looking to strengthen their grasp of computer vision and investigate TensorFlow’s potential for creating complex vision models using Google Colab.
Upon completion of this training, participants will be able to:
Develop and train convolutional neural networks (CNNs) using TensorFlow.
Leverage Google Colab for scalable and efficient cloud-based model development.
Implement image preprocessing techniques for computer vision tasks.
Deploy computer vision models for real-world applications.
Use transfer learning to boost the performance of CNN models.
Visualize and interpret the results of image classification models.
This instructor-led, live training in Athens (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 Athens (online or onsite) targets data scientists who wish to utilize TensorFlow for analyzing potential fraud data.
By the conclusion of this training, participants will be able to:
Create a fraud detection model using Python and TensorFlow.
Build linear regressions and models to predict fraud.
Develop an end-to-end AI application for analyzing fraud data.
This instructor-led live training in Athens, offered online or onsite, targets developers and data scientists looking to utilize TensorFlow 2.x for building predictors, classifiers, generative models, and neural networks.
By the end of the program, participants will be capable of:
Installing and configuring TensorFlow 2.x.
Understanding the benefits of TensorFlow 2.x over prior versions.
Building deep learning models.
Implementing an advanced image classifier.
Deploying deep learning models to cloud, mobile, and IoT devices.
This 35-hour course in Athens explores the fundamentals of deep neural networks, including CNNs, RNNs, and generative models such as GANs. Attendees gain practical experience with Theano and TensorFlow, learning to construct, train, and deploy production-grade deep learning models for real-world scenarios.
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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
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