Laurence Moroney is a Developer Advocate at Google working on Artificial Intelligence with TensorFlow. As the author of more programming books than he can count, he's excited to be working with deeplearn.ai and Coursera in producing video training. When not working with technology, he's a member of the Science Fiction Writers of America, having authored several science fiction novels, a produced screenplay and comic books, including the prequel to the movie 'Equilibrium' starring Christian Bale. Laurence is based in Washington State, where he drinks way too much coffee.
Coursera
Unlock the power of Natural Language Processing (NLP) with this comprehensive course on TensorFlow. Gain expertise in building scalable AI algorithms and learn best practices for implementing machine learning solutions.
Coursera
Dive into the world of Convolutional Neural Networks and TensorFlow with this comprehensive course. Gain expertise in building scalable AI-powered algorithms, essential for software developers aiming to harness machine learning's potential.
Coursera
Dive into the world beyond modeling with 'Data Pipelines with TensorFlow Data Services.' This course will equip you with the skills to deploy machine learning models effectively and optimize your data pipelines for superior performance. From understanding complex deployment scenarios to leveraging data more efficiently in training models, this specialization is designed to bridge the gap between theory and application.
Coursera
Embark on an exciting journey to bring your machine learning models into the real world with 'Browser-based Models with TensorFlow.js'. This comprehensive course, part of Coursera's Specialization, will teach you how to effectively deploy ML models in any browser using TensorFlow.js. Learn techniques for handling data within browsers and build a practical computer vision project that recognizes and classifies objects from a webcam.
Coursera
Embark on a journey into the practical application of machine learning models with 'Device-based Models with TensorFlow Lite'. This course is designed for those who want to extend their expertise beyond modeling data and delve into deploying ML models in real-world scenarios. You'll learn how to optimize models for mobile devices, execute them on both Android and iOS platforms, and even deploy on embedded systems like Raspberry Pi and microcontrollers using TensorFlow Lite.
Coursera
Dive deep into the world of advanced computer vision with our expert-led course on TensorFlow. From image classification to complex object detection and segmentation, this course will equip you with the skills to analyze images at a sophisticated level using state-of-the-art models like ResNet-50 and Mask-RCNN. Whether you're looking to improve existing systems or develop new applications in computer vision, this course is your gateway to mastering cutting-edge techniques.
Coursera
Dive into the world of advanced data analysis and learn how to develop powerful predictive models with 'Sequences, Time Series and Prediction' on Coursera. This course is designed for software developers eager to harness AI capabilities by mastering TensorFlow, an essential tool in machine learning. Gain insights into best practices for creating scalable algorithms that can predict future trends based on historical data.
Coursera
Dive into the complexities of bringing your machine learning models from development to deployment with 'Advanced Deployment Scenarios with TensorFlow'. This course, part of a comprehensive specialization on Coursera, will guide you through four distinct real-world deployment scenarios, equipping you with essential skills to train and implement your models effectively.
Coursera
Dive into Custom and Distributed Training with TensorFlow, a comprehensive course designed to equip you with advanced skills in building, optimizing, and scaling machine learning models. From understanding Tensor objects and eager vs graph modes to creating custom training loops and leveraging distributed training strategies for faster processing and larger model capabilities, this course offers a hands-on approach to mastering TensorFlow's powerful features.