{"id":3053,"date":"2023-11-10T00:28:40","date_gmt":"2023-11-09T22:28:40","guid":{"rendered":"https:\/\/solmstc.com\/?page_id=3053"},"modified":"2023-11-10T11:42:36","modified_gmt":"2023-11-10T09:42:36","slug":"ai-and-deep-learning-using-dl4j","status":"publish","type":"page","link":"https:\/\/solmstc.com\/index.php\/ai-and-deep-learning-using-dl4j\/","title":{"rendered":"AI and Deep Learning using DL4J"},"content":{"rendered":"\n<div class=\"wp-block-cover\"><span aria-hidden=\"true\" class=\"wp-block-cover__background has-background-dim\"><\/span><img loading=\"lazy\" decoding=\"async\" width=\"1280\" height=\"853\" class=\"wp-block-cover__image-background wp-image-3054\" alt=\"\" src=\"http:\/\/solmstc.com\/wp-content\/uploads\/2023\/11\/neuronBall.jpg\" data-object-fit=\"cover\" srcset=\"https:\/\/solmstc.com\/wp-content\/uploads\/2023\/11\/neuronBall.jpg 1280w, https:\/\/solmstc.com\/wp-content\/uploads\/2023\/11\/neuronBall-300x200.jpg 300w, https:\/\/solmstc.com\/wp-content\/uploads\/2023\/11\/neuronBall-1024x682.jpg 1024w, https:\/\/solmstc.com\/wp-content\/uploads\/2023\/11\/neuronBall-768x512.jpg 768w\" sizes=\"auto, (max-width: 1280px) 100vw, 1280px\" \/><div class=\"wp-block-cover__inner-container is-layout-constrained wp-block-cover-is-layout-constrained\">\n<p class=\"has-text-align-left has-ast-global-color-4-color has-text-color has-link-color has-x-large-font-size wp-elements-d9920e6c56dbe7ae5a1d177153ae8428\">AI and Deep Learning using DL4J<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-uagb-container uagb-block-57f75837 alignfull uagb-is-root-container\"><div class=\"uagb-container-inner-blocks-wrap\">\n<p>AI and Deep Learning for Java (DL4J) provides an extensive suite of tools for building production-grade deep-learning applications. Scalability and performance can be achieved using distributing training, re-enforcement learning and inference across CPU and GPU clusters. Integration with Apache Kafka for data streaming, Apache Spark for distributed computing and Hadoop for large-scale data analytics makes DL4J suited for enterprise-level AI applications.<\/p>\n\n\n\n<p>This course provides a solid foundation in the concepts of neural-network based Artificial Intelligence (AI) and deep learning and in developing scalable deep learning solutions using the DL4J framework.<\/p>\n\n\n\n<div class=\"wp-block-uagb-container uagb-block-97e06da8\">\n<div class=\"wp-block-uagb-container uagb-block-48e33d5d\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"wp-block-uagb-container uagb-block-db936bf0\">\n<h2 class=\"wp-block-heading has-ast-global-color-4-color has-text-color has-link-color wp-elements-c95e8b7163de534ff192e81adce0fbfb\">For whom is the course?<\/h2>\n\n\n\n<p>The course is for <strong>software developers<\/strong>, <strong>software engineers<\/strong>, <strong>data engineers<\/strong> and <strong>scientists<\/strong> who would like to augment their Java-based systems with deep learning features.<\/p>\n\n\n\n<div class=\"wp-block-uagb-container uagb-block-f58816e1\">\n<h3 class=\"wp-block-heading has-ast-global-color-4-color has-text-color has-link-color wp-elements-153837576961147a8f47f4532fa5abe5\">Course prerequisites<\/h3>\n\n\n\n<div class=\"wp-block-uagb-container uagb-block-c7311d7a\">\n<ul class=\"wp-block-list\">\n<li>Java programming<\/li>\n\n\n\n<li>Basic mathematics<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"wp-block-uagb-container uagb-block-fd14176a\">\n<h2 class=\"wp-block-heading\">Course content<\/h2>\n\n\n\n<div class=\"wp-block-uagb-container uagb-block-5e905075\">\n<ul class=\"wp-block-list\">\n<li class=\"has-medium-font-size\"><strong>Neural Network Basics<\/strong>\n<ul class=\"wp-block-list\">\n<li>Artificial Neurons, Activation functions and the Perceptron<\/li>\n\n\n\n<li><strong>Neural network structures and their uses<\/strong>\n<ul class=\"wp-block-list\">\n<li>Multi-layer perceptrons (MLPs)<\/li>\n\n\n\n<li>Convolutional neural networks (CNNs)<\/li>\n\n\n\n<li>Recurrent neural networks (RNNs)<\/li>\n\n\n\n<li>LSTM networks<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Training\/Learning Algorithms<\/strong>\n<ul class=\"wp-block-list\">\n<li>Training = global optimization<\/li>\n\n\n\n<li>Gradient decent and stochastic gradient decent<\/li>\n\n\n\n<li>Backpropagation<\/li>\n\n\n\n<li>Genetic algorithms, Simulated anealing, swarm optimization, \u2026<\/li>\n\n\n\n<li>Reinforcement learning<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li class=\"has-medium-font-size\"><strong>Understanding and using ND4J and DL4J<\/strong>\n<ul class=\"wp-block-list\">\n<li>Overview of ND4J and DL4J<\/li>\n\n\n\n<li>Creating a simple DL4J application<\/li>\n\n\n\n<li>Creating and training a perceptron with ND4J<\/li>\n\n\n\n<li>Single-hidden layer perceptrons<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li class=\"has-medium-font-size\"><strong>Multi-Layer Perceptrons (MLPs) and Deep-Learning in DL4J<\/strong>\n<ul class=\"wp-block-list\">\n<li>The need for deep-learning<\/li>\n\n\n\n<li>Constructing a MLP in DL4J<\/li>\n\n\n\n<li>Data preparation and normalization<\/li>\n\n\n\n<li>Training a deep-learning neural network<\/li>\n\n\n\n<li>Using the training MLP for inference<\/li>\n\n\n\n<li>Optimizing the network for the problem at hand<\/li>\n\n\n\n<li>An MLP example application<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Convolutional Neural Networks (CNNs) in DL4J<\/strong>\n<ul class=\"wp-block-list\">\n<li>Limitations of feed-forward networks<\/li>\n\n\n\n<li>Translation, rotation and scaling invariance<\/li>\n\n\n\n<li>Overfitting<\/li>\n\n\n\n<li>Convolutional neural networks and transformation of the input signals<\/li>\n\n\n\n<li>The structure of a convolutional neural network<\/li>\n\n\n\n<li>Dimensionality reduction through feature extraction<\/li>\n\n\n\n<li>The classifier part of a CNN<\/li>\n\n\n\n<li>Constructing a CNN in DL4J<\/li>\n\n\n\n<li>Training CNNs<\/li>\n\n\n\n<li>Using the CNN for inference<\/li>\n\n\n\n<li>An example CNN application<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Basic Recurrent Neural Networks (RNN)<\/strong>\n<ul class=\"wp-block-list\">\n<li>The structure of an RNN<\/li>\n\n\n\n<li>Time series prediction and language processing using RNNs<\/li>\n\n\n\n<li>Modifying backpropagation for RNNs<\/li>\n\n\n\n<li>Causes of exploding and vanishing gradient problems<\/li>\n\n\n\n<li>Solving the exploding gradient problem<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Long-Short-Term Memory (LSTM) networks in DL4J<\/strong>\n<ul class=\"wp-block-list\">\n<li>Solving the vanishing gradient problem with an LSTM architecture<\/li>\n\n\n\n<li>Constructing an LSTM in DL4J<\/li>\n\n\n\n<li>Using LSTMs to make predictions<\/li>\n\n\n\n<li>Optimizing LSTMs<\/li>\n\n\n\n<li>Using LSTM for stock market predictions<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Gated Recurrent Units (GRUs) in DL4J<\/strong>\n<ul class=\"wp-block-list\">\n<li>Reducing the number of training parameters through GRUs<\/li>\n\n\n\n<li>Benefits and disadvantages of GRUs<\/li>\n\n\n\n<li>Constructing GRUs in DL4J<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Distributed training<\/strong>\n<ul class=\"wp-block-list\">\n<li>Using Apache Spark computing clusters<\/li>\n\n\n\n<li>Using GPU grids<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"wp-block-uagb-container uagb-block-537ad720\">\n<h2 class=\"wp-block-heading\">Interested?<\/h2>\n\n\n\n<div class=\"wp-block-uagb-container uagb-block-7ce779cd\">\n<div class=\"wp-block-uagb-buttons uagb-buttons__outer-wrap uagb-btn__default-btn uagb-btn-tablet__default-btn uagb-btn-mobile__default-btn uagb-block-40641505\"><div class=\"uagb-buttons__wrap uagb-buttons-layout-wrap\">\n<div class=\"wp-block-uagb-buttons-child uagb-buttons__outer-wrap uagb-block-6de266b2 wp-block-button is-style-outline\"><div class=\"uagb-button__wrapper\"><a class=\"uagb-buttons-repeater wp-block-button__link has-text-color\" href=\"https:\/\/solmstc.com\/index.php\/course-schedule\/\" onclick=\"return true;\" rel=\"follow noopener\" target=\"_self\"><div class=\"uagb-button__link\">Course Schedule<\/div><\/a><\/div><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-uagb-buttons uagb-buttons__outer-wrap uagb-btn__default-btn uagb-btn-tablet__default-btn uagb-btn-mobile__default-btn uagb-block-3452386e\"><div class=\"uagb-buttons__wrap uagb-buttons-layout-wrap\">\n<div class=\"wp-block-uagb-buttons-child uagb-buttons__outer-wrap uagb-block-e0dd5c8c wp-block-button is-style-outline\"><div class=\"uagb-button__wrapper\"><a class=\"uagb-buttons-repeater wp-block-button__link has-text-color\" href=\"https:\/\/solmstc.com\/index.php\/traininginfoorquoterequest\/\" onclick=\"return true;\" rel=\"follow noopener\" target=\"_self\"><div class=\"uagb-button__link\">Enquire about on-site or life-virtual training<\/div><\/a><\/div><\/div>\n<\/div><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-uagb-container uagb-block-b36bd711\">\n<h2 class=\"wp-block-heading\">Certification<\/h2>\n\n\n\n<p>The Domain-Oriented Analysis and Design course using UML &amp; URDAD is part of the<\/p>\n\n\n\n<div class=\"wp-block-uagb-buttons uagb-buttons__outer-wrap uagb-btn__default-btn uagb-btn-tablet__default-btn uagb-btn-mobile__default-btn uagb-block-c3d837ca\"><div class=\"uagb-buttons__wrap uagb-buttons-layout-wrap\">\n<div class=\"wp-block-uagb-buttons-child uagb-buttons__outer-wrap uagb-block-40c77756 wp-block-button is-style-outline\"><div class=\"uagb-button__wrapper\"><a class=\"uagb-buttons-repeater wp-block-button__link has-text-color\" href=\"https:\/\/solmstc.com\/index.php\/training_\/certification\/\" onclick=\"return true;\" rel=\"follow noopener\" target=\"_self\"><div class=\"uagb-button__link\">Solms TC Certification Program<\/div><\/a><\/div><\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"om_disable_all_campaigns":false,"_uag_custom_page_level_css":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center 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