End To End Robotic Vision And Language Processing A Hands On Go To Guide To Building AI Powered Robots With Deep Learning Convolutional And Recurrent Networks ROS Mastery And Real World Applications
✔️ In-depth guide on ROS, CNNs, RNNs, NLP, Word2Vec, and recognition
This book provides a hands-on, practical approach to building AI-powered robots, focusing on end-to-end vision and language systems. It is ideal for robotics engineers who want to integrate computer vision, NLP, and the ROS framework into real-world applications.
✅ Author: Gonzalo Molina Gallego
✅ Pages: 356
✅ Key topics: ROS framework, CNNs, RNNs, Word2Vec, GloVe, NLP
✅ Hands-on projects: build AI-powered robots, object recognition, ROS integration
✅ Language: English
✅ Release Date: 30-04-2019
💡 What is the most handy starter guide for robotic vision and language processing with ROS and deep learning?
This guide helps you quickly start building real robot apps.
- ROS integration and hands-on projects
- CNNs, RNNs, Word2Vec, GloVe embeddings
- End-to-end vision and language processing pipelines