Delivered either online or onsite, these instructor-led live TensorFlow training programs combine interactive discussions with practical exercises. They illustrate how to leverage the TensorFlow framework to advance machine learning research and simplify the progression from experimental prototypes to robust production systems.
TensorFlow training can be accessed as "online live training" or "onsite live training". Online live training (also referred to as "remote live training") is facilitated through an interactive remote desktop. Onsite live training is conducted either at customer premises in Transylvania Central or at NobleProg corporate training centers in Transylvania Central.
NobleProg -- Your Local Training Provider
Brasov, Calea Bucuresti Street
NobleProg Brasov, 13 Calea Bucuresti Street Sacele, Brasov, romania, 505600
The hotel is situated at the city entrance, being the best conference and training location in Brasov. Three conference rooms can accommodate up to 170 guests and can be modified for the company needs. These training rooms are equipped with the all necessities of a good conference or training.
Salile de training sunt situate central în Sibiu, pe principalul bulevard. Clădirea hotelului care le gazduieste este de factură clasicistă si reprezinta un punct de referinta arhitecturala a orasului.
Turnul Sfatului, Galeria de Arta Contemporana, sau parcurile Corneliu Coposu si Astra se află în imediata apropiere.
Pentru a ajunge aici de la gara, puteti merge pe jos 20min sau cu autobuzul 5 circa 10min
Locuri de parcare găsiți în parcarea supravegheata, sau pe străzile alăturate.
Cluj-Napoca, Pitești Street
NobleProg Cluj-Napoca, Strada Pitești 19, Cluj-Napoca, romania, 400124
ClujHUB has more rooms for events and training sessions, which can host from 4 to 80 people. These areas can be setup up to fit the companies need. The location is great, 10 minutes walk from the historical city center.
This instructor-led live training in Transylvania Central (online or onsite) is designed for advanced-level professionals who aim to deepen their knowledge of computer vision and investigate TensorFlow's capabilities for developing complex vision models using Google Colab.
By the conclusion of this training, participants will be able to:
Construct and train convolutional neural networks (CNNs) using TensorFlow.
Utilize Google Colab to facilitate scalable and efficient cloud-based model development.
Apply image preprocessing techniques tailored for computer vision tasks.
Deploy computer vision models for practical, real-world applications.
Employ transfer learning to optimize the performance of CNN models.
Visualize and analyze the outcomes of image classification models.
This instructor-led, live training in Transylvania Central (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, offered Transylvania Central (online or on-site), targets data scientists interested in using TensorFlow for fraud data analysis.
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 analyzing fraud data.
This live, instructor-led course in Transylvania Central (delivered online or onsite) is designed for developers and data scientists aiming to utilize TensorFlow 2.x to build predictors, classifiers, generative models, neural networks, and related systems.
Upon completion of this training, participants will be able to:
Install and configure TensorFlow 2.x.
Understand the benefits of TensorFlow 2.x over previous iterations.
Construct deep learning models.
Implement an advanced image classifier.
Deploy deep learning models to the cloud, mobile platforms, and IoT devices.
This 35-hour course in Transylvania Central covers deep neural network fundamentals, including CNNs, RNNs, and generative models like GANs. Participants gain hands-on 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
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