Computer Vision (training)

Colleagues, this in-depth “Computer Vision” program will equip you to write applications that  analyze images, implement feature extraction, and recognize objects using deep learning models. Skill-based training modules include: 1) Introduction to Computer Vision - Image Representation & Classification, Convolutional Filters and Edge Detection, Types of Features & Image Segmentation, Feature Vectors, CNN Layers and Feature Visualization, 2) Cloud Computing - Cloud Computing with Google Cloud Platform and AWS, 3) Advanced Computer Vision and Deep Learning - Advanced CNN Architectures, YOLO, RNNs, Long Short-Term Memory Networks (LSTMs), 4) Hyperparameters, 5) Attention Mechanisms - Image Captioning. Learn how to combine CNNs and RNNs to build a complex, automatic image captioning model, 6) Object Tracking and Localization - Robot Localization, 2D Histogram Filter, Kalman Filters, Representing State and Motion, Matrices and Transformation of State, Simultaneous Localization and Mapping, 7) Vehicle Motion and Calculus - Landmark Detection & Tracking. Optional course address: Applications of Computer Vision & Deep Learning, Training a Neural Network, Feedforward and Backpropagation, Deep Learning with PyTorch, Text Sentiment Analysis - Fully-Convolutional Neural Networks & Semantic Segmentation and C++ Programming. 

Enroll today (teams & executives are welcome): https://tinyurl.com/yhatvenh  

Download your free AI-ML-DL - Career Transformation Guide.

“Transformative Innovation” book series for your listening-reading pleasure: 

 

1 - ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity (Audible) (Kindle)

2 - ChatGPT - The Era of Generative Conversational AI Has Begun (Audible) (Kindle) 

3 - The Race for Quantum Computing  (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - AI Academy (share with your team)