Delivered either online or on-site, these instructor-led live TensorFlow training courses provide a comprehensive look at the framework. Through interactive discussion and practical exercises, participants will learn how to utilize TensorFlow for machine learning research, ensuring a smooth and efficient transition from experimental prototypes to robust production systems.
The TensorFlow curriculum is offered as both "online live training" and "onsite live training". Online sessions, also referred to as "remote live training", are conducted through an interactive, remote desktop environment. Conversely, onsite live training can be delivered directly on client premises in Lille or at NobleProg corporate training centers in Lille.
NobleProg -- Your Local Training Provider
Lille, Gare Flandres
NobleProg Lille, 21 Avenue le Corbusier, Lille, france, 59800
In front of Flandres TGV Train Station
From Lille train stations
From Lille-Flandres: the address is essentially right next to the station — about 1–3 minutes on foot.
From Lille-Europe: walk toward Lille-Flandres along Avenue Le Corbusier. It is roughly 5–10 minutes on foot.
So you don't need a bus or metro if you're arriving by train.
If you're coming by bus
The nearest bus stops to Avenue Le Corbusier include Lion d'Or and Jacquet. Several local lines serve the area, including 13, 86, L5 and L91.
This instructor-led, live training in Lille (online or onsite) is aimed at advanced-level professionals who wish to deepen their understanding of computer vision and explore TensorFlow's capabilities for developing sophisticated vision models using Google Colab.
By the end of this training, participants will be able to:
Build 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 enhance the performance of CNN models.
Visualize and interpret the results of image classification models.
This instructor-led, live training in Lille (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 Lille (online or onsite) is designed for developers and data scientists who intend to utilize Tensorflow 2.x for building predictors, classifiers, generative models, and neural networks, among other applications.
Upon completion of this training, participants will be capable of:
Installing and configuring TensorFlow 2.x.
Understanding the advantages of TensorFlow 2.x over earlier versions.
Developing deep learning models.
Implementing an advanced image classifier.
Deploying deep learning models to the cloud, mobile applications, and IoT devices.
This 35-hour course in Lille explores the fundamentals of deep neural networks, covering CNNs, RNNs, and generative models such as GANs. Participants will 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 (2)
The adaptation of exos to our context and the consideration of our request
Amel Guetat - EURO-INFORMATION DEVELOPPEMENTS
Course - Fraud Detection with Python and TensorFlow
Machine Translated
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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