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 Dobrogea Sud-Est or at NobleProg corporate training centers in Dobrogea Sud-Est.
NobleProg -- Your Local Training Provider
Constanta, Mircea cel Batran Street
NobleProg Constanta, Str. Mircea cel Batran, Constanta, romania, 900658
The building is situated in the central part of the city with view to the Black Sea. The hotel contains three conference rooms fully equipped for training, meetings and conferences. Just a quick walk and you can relax on the beach after a full day in the conference center.
This instructor-led live training in Dobrogea Sud-Est (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 Dobrogea Sud-Est (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 Dobrogea Sud-Est (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 Dobrogea Sud-Est (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 Dobrogea Sud-Est 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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