Delivered either online or onsite, these instructor-led TensorFlow training courses utilize interactive discussions and practical exercises to illustrate how the TensorFlow framework supports machine learning research. They also simplify the process of moving from initial research prototypes to robust production systems.
TensorFlow training is offered as either "online live training" or "onsite live training". The online option, also known as "remote live training", takes place through an interactive remote desktop environment. Onsite training can be conducted at customer premises in Bangkok or within NobleProg's corporate training centers in Bangkok.
NobleProg -- Your Local Training Provider
Empire Tower
1, South Sathorn Road,, Bangkok, thailand, 10120
Ways to get there
BTS Skytrain: Take the Silom Line and get off at BTS Chong Nonsi. The Empire is within walking distance; the building has access from the Sathorn/Naradhiwas area.
BTS Saint Louis:Saint Louis station is also nearby, around a 7-minute walk according to current location information.
BRT: Get off at BRT Sathorn. It's approximately a 2–4 minute walk to the building.
MRT:MRT Silom is another option, followed by a walk toward Sathorn.
Taxi/Grab: Give the driver: “The Empire, 1 South Sathorn Road, Sathon, Bangkok 10120.” The official building site confirms this address.
By car: The building can be accessed from Sathorn Road or Naradhiwas Rajanagarinda Road.
This instructor-led live training, conducted in Bangkok (available online or onsite), is specifically curated for advanced professionals seeking to expand their mastery of computer vision. It explores how to leverage TensorFlow’s capabilities to engineer sophisticated vision models using the Google Colab platform.
By the end of this program, participants will have the capability 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 session Bangkok (delivered online or onsite) is specifically designed for intermediate data scientists and developers seeking to master the application of deep learning techniques through the Google Colab environment.
By the conclusion of this training, attendees will have the ability to:
Set up and operate Google Colab for deep learning endeavors.
Comprehend the basic mechanics of neural networks.
Develop deep learning models with TensorFlow.
Conduct the training and assessment of deep learning models.
Apply sophisticated TensorFlow features to enhance deep learning projects.
This instructor-led live training in Bangkok (delivered online or onsite) is tailored for data scientists who intend to utilize TensorFlow for analyzing potential fraud data.
By the conclusion of this session, participants will have the capability to:
Implement a fraud detection model using Python and TensorFlow.
Establish linear regression models for fraud prediction.
Create a full-stack AI application dedicated to fraud data analysis.
This instructor-led, live training in Bangkok (online or on-site) is designed for developers and data scientists who aim 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 capable of:
Installing and configuring TensorFlow 2.x.
Understanding the benefits of TensorFlow 2.x over previous iterations.
Constructing deep learning models.
Implementing an advanced image classifier.
Deploying deep learning models to cloud, mobile, and IoT devices.
This 35-hour program on Bangkok delves into 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 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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