-
admin
T2T: Creating Sequence to Sequence Models for Generalized Learning Training Course
Overview Tensor2Tensor (T2T) is a modular, extensible library for training AI models in different tasks, using different types of training data, for example: image recognition, translation, parsing, image captioning, and speech recognition. It is maintained by the Google Brain team. In this instructor-led, live training, participants will learn how to prepare a deep-learning model to […]
-
admin
Amazon DSSTNE: Build a Recommendation System Training Course
Overview In this instructor-led, live training, participants will learn how to use DSSTNE to build a recommendation application. By the end of this training, participants will be able to: Train a recommendation model with sparse datasets as input Scale training and prediction models over multiple GPUs Spread out computation and storage in a model-parallel fashion […]
-
admin
PaddlePaddle Training Course
Overview PaddlePaddle (PArallel Distributed Deep LEarning) is a scalable deep learning platform developed by Baidu. In this instructor-led, live training, participants will learn how to use PaddlePaddle to enable deep learning in their product and service applications. By the end of this training, participants will be able to: Set up and configure PaddlePaddle Set up […]
-
admin
Microsoft Cognitive Toolkit 2.x Training Course
Overview Microsoft Cognitive Toolkit 2.x (previously CNTK) is an open-source, commercial-grade toolkit that trains deep learning algorithms to learn like the human brain. According to Microsoft, CNTK can be 5-10x faster than TensorFlow on recurrent networks, and 2 to 3 times faster than TensorFlow for image-related tasks. In this instructor-led, live training, participants will learn […]
-
admin
Facebook NMT: Setting up a Neural Machine Translation System Training Course
Overview In this instructor-led, live training, participants will learn how to use Facebook NMT (Fairseq) to carry out translation of sample content. By the end of this training, participants will have the knowledge and practice needed to implement a live Fairseq based machine translation solution. Format of the course Part lecture, part discussion, heavy hands-on practice […]
-
admin
Introduction Deep Learning and Neural Network for Engineers Training Course
Overview Artificial intelligence has revolutionized a large number of economic sectors (industry, medicine, communication, etc.) after having upset many scientific fields. Nevertheless, his presentation in the major media is often a fantasy, far removed from what really are the fields of Machine Learning or Deep Learning. The aim of this course is to provide engineers […]
-
admin
OpenNMT: Setting Up a Neural Machine Translation System Training Course
Overview In this instructor-led, live training, participants will learn how to set up and use OpenNMT to carry out translation of various sample data sets. The course starts with an overview of neural networks as they apply to machine translation. Participants will carry out live exercises throughout the course to demonstrate their understanding of the […]
-
admin
OpenNN: Implementing Neural Networks Training Course
Overview In this instructor-led, live training, we go over the principles of neural networks and use OpenNN to implement a sample application. Format of the course Lecture and discussion coupled with hands-on exercises. Requirements An understanding of data science concepts C++ programming experience is helpful Audience Software developers and programmers wishing to create Deep Learning applications. […]
-
admin
Artificial Intelligence in Automotive Training Course
Overview This course covers AI (emphasizing Machine Learning and Deep Learning) in Automotive Industry. It helps to determine which technology can be (potentially) used in multiple situation in a car: from simple automation, image recognition to autonomous decision making. Requirements The participants must have programming experience (any language) and engineering background, but are not required to […]
-
admin
Deep Learning for Vision Training Course
Overview Audience This course is suitable for Deep Learning researchers and engineers interested in utilizing available tools (mostly open source) for analyzing computer images This course provide working examples. Requirements Any programming language knowledge is required. Familiarity with Machine Learning is not required but beneficial. Course Outline Deep Learning vs Machine Learning vs Other Methods […]
