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Advanced Deep Learning with Keras and Python Training Course
Overview Keras is an open source Python neural-network library for the creation of deep learning neural-networks. Keras offers an intuitive set of abstractions, simplifying the development of deep learning neural-networks and models. This instructor-led, live training (online or onsite) is aimed at software engineers who wish to develop advanced deep learning neural-networks and model using […]
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Deep Learning for Self Driving Cars Training Course
Overview Deep learning is a subfield of machine learning. It uses methods based on learning data representations and structures such as neural networks. Keras is a high-level neural networks API for fast development and experimentation. It runs on top of TensorFlow, CNTK, or Theano. This instructor-led, live training (online or onsite) is aimed at developers […]
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admin
Deep Learning with Keras Training Course
Overview Keras is a high-level neural networks API for fast development and experimentation. It runs on top of TensorFlow, CNTK, or Theano. This instructor-led, live training (online or onsite) is aimed at technical persons who wish to apply deep learning model to image recognition applications. By the end of this training, participants will be able […]
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Mastering Apache SINGA Training Course
Overview SINGA is a general distributed deep learning platform for training big deep learning models over large datasets. It is designed with an intuitive programming model based on the layer abstraction. A variety of popular deep learning models are supported, namely feed-forward models including convolutional neural networks (CNN), energy models like restricted Boltzmann machine (RBM), […]
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admin
Torch for Machine and Deep Learning Training Course
Overview Torch is an open source machine learning library and a scientific computing framework based on the Lua programming language. It provides a development environment for numerics, machine learning, and computer vision, with a particular emphasis on deep learning and convolutional nets. It is one of the fastest and most flexible frameworks for Machine and […]
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DeepLearning4J for Image Recognition Training Course
Overview Deeplearning4j is an Open-Source Deep-Learning Software for Java and Scala on Hadoop and Spark. Audience This course is meant for engineers and developers seeking to utilize DeepLearning4J in their image recognition projects. Requirements Java Course Outline Getting Started Quickstart: Running Examples and DL4J in Your Projects Comprehensive Setup Guide Convolutional Neural Networks Convolutional Net […]
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Mastering Deeplearning4j Training Course
Overview Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Spark, DL4J is designed to be used in business environments on distributed GPUs and CPUs. Audience This course is directed at engineers and developers seeking to utilize Deeplearning4j in their projects. Requirements Knowledge in the following: […]
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NLP with Deeplearning4j Training Course
Overview Deeplearning4j is an open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Spark, DL4J is designed to be used in business environments on distributed GPUs and CPUs. Word2Vec is a method of computing vector representations of words introduced by a team of researchers at Google led by Tomas Mikolov. Audience […]
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TensorFlow Extended (TFX) Training Course
Overview TensorFlow Extended (TFX) is an end-to-end platform for deploying production ML pipelines. This instructor-led, live training (online or onsite) is aimed at data scientists who wish to go from training a single ML model to deploying many ML models to production. By the end of this training, participants will be able to: Install and […]
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admin
Machine Learning with TensorFlow.js Training Course
Overview TensorFlow.js is a JavaScript framework for machine learning. TensorFlow.js enables users to build and train machine learning models directly in JavaScript. This instructor-led, live training (online or onsite) is aimed at data scientists who wish to use TensorFlow.js to identify patterns and generate predictions through machine learning models. By the end of this training, […]
