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Apache SystemML for Machine Learning Training Course
Overview Apache SystemML is a distributed and declarative machine learning platform. SystemML provides declarative large-scale machine learning (ML) that aims at flexible specification of ML algorithms and automatic generation of hybrid runtime plans ranging from single node, in-memory computations, to distributed computations on Apache Hadoop and Apache Spark. Audience This course is suitable for Machine […]
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admin
RapidMiner for Machine Learning and Predictive Analytics Training Course
Overview RapidMiner is an open source data science software platform for rapid application prototyping and development. It includes an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics. In this instructor-led, live training, participants will learn how to use RapidMiner Studio for data preparation, machine learning, and predictive model deployment. […]
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admin
TensorFlow Lite for iOS Training Course
Overview TensorFlow Lite is an open source deep learning framework for mobile devices and embedded systems. This instructor-led, live training (online or onsite) is aimed at developers who wish to use TensorFlow Lite to develop iOS mobile applications with deep learning capabilities. By the end of this training, participants will be able to: Install and […]
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admin
Tensorflow Lite for Microcontrollers Training Course
Overview TensorFlow Lite for Microcontrollers is a port of TensorFlow Lite designed to run machine learning models on microcontrollers and other devices with limited memory. This instructor-led, live training (online or onsite) is aimed at engineers who wish to write, load and run machine learning models on very small embedded devices. By the end of […]
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admin
TensorFlow Lite for Android Training Course
Overview TensorFlow Lite is an open source deep learning framework for mobile devices and embedded systems. This instructor-led, live training (online or onsite) is aimed at developers who wish to use TensorFlow Lite to develop mobile applications with deep learning capabilities. By the end of this training, participants will be able to: Install and configure […]
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admin
TensorFlow Lite for Embedded Linux Training Course
Overview TensorFlow Lite is an open source deep learning framework for executing models on mobile and embedded devices with limited compute and memory resources. This instructor-led, live training (online or onsite) is aimed at developers who wish to use TensorFlow Lite to deploy deep learning models on embedded devices. By the end of this training, […]
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admin
Deep Learning Neural Networks with Chainer Training Course
Overview Chainer is an open source framework based on Python, built for accelerating research and implementing neural network models. It provides flexible, efficient, and simplified approaches to developing deep learning algorithms. This instructor-led, live training (online or onsite) is aimed at researchers and developers who wish to use Chainer to build and train neural networks […]
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admin
Distributed Deep Learning with Horovod Training Course
Overview Horovod is an open source software framework, designed for processing fast and efficient distributed deep learning models using TensorFlow, Keras, PyTorch, and Apache MXNet. It can scale up a single-GPU training script to run on multiple GPUs or hosts with minimal code changes. This instructor-led, live training (online or onsite) is aimed at developers […]
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admin
Accelerating Deep Learning with FPGA and OpenVINO Training Course
Overview An FPGA (Field Programmable Gate Array) is an integrated circuit that can be used to accelerate deep learning computations. OpenVINO is an open source toolkit for optimizing Deep Learning models on Intel hardware. This instructor-led, live training (online or onsite) is aimed at data scientists who wish to accelerate real-time machine learning applications and […]
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admin
Building Deep Learning Models with Apache MXNet Training Course
Overview MXNet is a flexible, open-source Deep Learning library that is popular for research prototyping and production. Together with the high-level Gluon API interface, Apache MXNet is a powerful alternative to TensorFlow and PyTorch. This instructor-led, live training (online or onsite) is aimed at data scientists who wish to use Apache MXNet to build and […]
