Deep Learning for Vision with Caffe Training Course

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate to advanced-level data scientists, machine learning engineers, deep learning researchers, and computer vision experts who wish to expand their knowledge and skills in deep learning for text-to-image generation for government applications.

By the end of this training, participants will be able to:

• Understand advanced deep learning architectures and techniques for generating high-quality images from text.
• Implement complex models and optimizations to enhance image synthesis accuracy and efficiency.
• Optimize performance and scalability for large datasets and sophisticated models in government environments.
• Tune hyperparameters to achieve optimal model performance and generalization for government use cases.
• Integrate Stable Diffusion with other deep learning frameworks and tools to support public sector workflows.

This instructor-led, live training in US Empire (online or onsite) is aimed at biologists who wish to understand the functionality of AlphaFold and utilize its models as guides in their experimental studies for government research.

By the end of this training, participants will be able to:

• Comprehend the fundamental principles of AlphaFold.
• Understand how AlphaFold operates.
• Interpret AlphaFold predictions and results effectively.

This instructor-led, live training in US Empire (online or onsite) is aimed at researchers and developers who wish to use Chainer to build and train neural networks in Python, ensuring the code is easy to debug and maintain for government applications.

By the end of this training, participants will be able to:

• Set up the necessary development environment to start creating neural network models for government use.
• Define and implement neural network models using clear and understandable source code.
• Execute examples and modify existing algorithms to optimize deep learning training models while leveraging GPUs for high performance, ensuring alignment with public sector workflows and governance requirements.

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate-level developers, data scientists, and AI practitioners who wish to leverage TensorFlow Lite for government Edge AI applications.

By the end of this training, participants will be able to:

• Understand the fundamentals of TensorFlow Lite and its role in Edge AI for government.
• Develop and optimize AI models using TensorFlow Lite for government applications.
• Deploy TensorFlow Lite models on various edge devices for government use.
• Utilize tools and techniques for model conversion and optimization in a government context.
• Implement practical Edge AI applications using TensorFlow Lite for government operations.

This instructor-led, live training in US Empire (online or onsite) is aimed at beginner-level law enforcement personnel who wish to transition from manual facial sketching to using AI tools for developing facial recognition systems for government.

By the end of this training, participants will be able to:

• Understand the fundamentals of Artificial Intelligence and Machine Learning for government applications.
• Learn the basics of digital image processing and its application in facial recognition for government operations.
• Develop skills in using AI tools and frameworks to create facial recognition models for government use.
• Gain hands-on experience in creating, training, and testing facial recognition systems for government purposes.
• Understand ethical considerations and best practices in the use of facial recognition technology for government operations.

Fiji is an open-source image processing package that bundles ImageJ (an image processing program designed for scientific multidimensional images) and various plugins for advanced scientific image analysis.

In this instructor-led, live training, participants will learn how to utilize the Fiji distribution and its underlying ImageJ program to develop an image analysis application tailored for government use.

By the end of this training, participants will be able to:

• Leverage Fiji's advanced programming features and software components to extend ImageJ for government applications
• Stitch large 3D images from overlapping tiles with precision
• Automatically update a Fiji installation on startup using the integrated update system, ensuring compliance with government standards
• Select from a broad range of scripting languages to build custom image analysis solutions for government projects
• Utilize Fiji's powerful libraries, such as ImgLib, for processing large bioimage datasets in public sector research
• Deploy their application and collaborate with other scientists on similar government initiatives

Format of the Course

• Interactive lecture and discussion
• Extensive exercises and practice sessions
• Hands-on implementation in a live-lab environment, aligned with public sector workflows and governance

Course Customization Options

• To request a customized training for this course, tailored specifically for government needs, please contact us to arrange.

This instructor-led, live training in US Empire (online or onsite) is designed for government researchers and laboratory professionals at the beginner to intermediate level who are interested in processing and analyzing images related to histological tissues, blood cells, algae, and other biological samples.

By the end of this training, participants will be able to:

• Navigate the Fiji interface and utilize ImageJ’s core functions for government research applications.
• Preprocess and enhance scientific images to improve analysis accuracy for government projects.
• Perform quantitative image analysis, including cell counting and area measurement, to support government research objectives.
• Automate repetitive tasks using macros and plugins to streamline workflows for government laboratories.
• Customize workflows to meet specific image analysis needs in biological research for government purposes.

This instructor-led, live training in US Empire (online or onsite) is aimed at developers or data scientists who wish to utilize Horovod to execute distributed deep learning trainings and scale them up to operate across multiple GPUs in parallel for government applications.

By the end of this training, participants will be able to:

• Set up the required development environment to initiate deep learning trainings for government use.
• Install and configure Horovod to train models with TensorFlow, Keras, PyTorch, and Apache MXNet for government projects.
• Scale deep learning training with Horovod to run on multiple GPUs, enhancing efficiency and performance for government workflows.

OpenCV (Open Source Computer Vision Library: ) is an open-source BSD-licensed library that includes several hundred computer vision algorithms.

Audience

This course is directed at engineers and architects seeking to utilize OpenCV for government projects involving computer vision.

This instructor-led, live training in US Empire (online or onsite) is aimed at software engineers who wish to program in Python with OpenCV 4 for deep learning applications for government.

By the end of this training, participants will be able to:

• View, load, and classify images and videos using OpenCV 4.
• Implement deep learning techniques in OpenCV 4 with TensorFlow and Keras.
• Run deep learning models and generate comprehensive reports from images and videos for government use.

Pattern Matching is a technique utilized to identify specified patterns within an image. It can be employed to determine the presence of specific characteristics within a captured image, such as the expected label on a defective product in a factory line or the precise dimensions of a component. This differs from "Pattern Recognition," which identifies general patterns based on larger collections of related samples, as Pattern Matching specifically defines what is being sought and confirms whether the expected pattern exists or not.

Format of the Course

• This course introduces the approaches, technologies, and algorithms used in the field of pattern matching as it applies to Machine Vision for government applications.

This instructor-led, live training (online or onsite) is aimed at data scientists, machine learning engineers, and computer vision researchers who wish to leverage Stable Diffusion for generating high-quality images for a variety of use cases for government.

By the end of this training, participants will be able to:

• Understand the principles of Stable Diffusion and its application in image generation.
• Develop and train Stable Diffusion models for various image generation tasks.
• Apply Stable Diffusion techniques to different image generation scenarios, including inpainting, outpainting, and image-to-image translation.
• Enhance the performance and stability of Stable Diffusion models.

This instructor-led, live training in US Empire (online or onsite) is aimed at engineers who wish to develop, deploy, and execute machine learning models on very small embedded devices for government use.

By the end of this training, participants will be able to:

• Install TensorFlow Lite for government applications.
• Load machine learning models onto an embedded device to enable it to perform tasks such as speech detection and image classification without network connectivity.
• Incorporate artificial intelligence into hardware devices to enhance functionality and efficiency in public sector workflows.

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate-level professionals who wish to utilize Vision Builder AI to design, implement, and optimize automated inspection systems for SMT (Surface-Mount Technology) processes for government applications.

By the end of this training, participants will be able to:

• Set up and configure automated inspections using Vision Builder AI for government use.
• Acquire and preprocess high-quality images for analysis in a government setting.
• Implement logic-based decisions for defect detection and process validation in alignment with public sector standards.
• Generate inspection reports and optimize system performance to meet governmental requirements.