{"id":1498,"date":"2022-12-21T19:36:38","date_gmt":"2022-12-21T19:36:38","guid":{"rendered":"\/wolfram-u\/?page_id=1498"},"modified":"2026-04-02T14:23:03","modified_gmt":"2026-04-02T14:23:03","slug":"boot-camp-neural-networks","status":"publish","type":"page","link":"https:\/\/www.wolfram.com\/wolfram-u\/boot-camp-neural-networks\/","title":{"rendered":"Boot Camp Neural Networks"},"content":{"rendered":"<style>\r\n#nn-header .header-date {\r\nfont-size: 1.225rem;\r\nfont-style: italic;\r\ndisplay: inline-block;\r\nbackground: #eaeaea;\r\npadding: .225rem 1rem;\r\n}\r\n<\/style>\r\n<link href='https:\/\/fonts.googleapis.com\/css?family=Oswald:400,700,300' rel='stylesheet' type='text\/css'>\r\n<section id=\"overview\" class=\"page\">\r\n<div id=\"nn-header\">\r\n    <div class=\"inner\">\r\n        <div class=\"wolfram\">Wolfram<\/div>\r\n\t\t<div><span class=\"neural-networks\">Neural Networks<\/span><div class=\"blue-container\"><span class=\"blue-background\">Boot&nbsp;Camp<\/span><\/div><\/div>\r\n\t\t<div class=\"header-date\">We're working on exciting changes to this boot camp program. Please check back later.<\/div>\r\n    <\/div>\r\n<\/div>\r\n<nav class=\"nav\" id=\"page-nav\">\r\n\t<ul class=\"inner hide__600 menu\">\r\n\t\t<li><a href=\"#overview\" id=\"overview-nav\" class=\"nav-menu\">Overview<\/a><\/li>\r\n\t\t<li><a href=\"#instructors\" id=\"instructors-nav\" class=\"nav-menu\">Instructors<\/a><\/li>\r\n\t\t<li><a href=\"#agenda\" id=\"agenda-nav\" class=\"nav-menu\">Agenda<\/a><\/li>\r\n\t\t<li><a class=\"button\" href=\"#cost\" id=\"register-nav\">Cost & Registration<\/a><\/li>\r\n\t\t<li><a href=\"#faq\" id=\"faqs-nav\" class=\"nav-menu\">FAQ<\/a><\/li>\r\n\t<\/ul>\r\n\t<div class=\"hide show__600\">\r\n\t\t<div class=\"grid cols-2\">\r\n\t\t\t<ul class=\"width-3-5\">\r\n\t\t\t\t<li class=\"sub-parent\">\r\n\t\t\t\t\t<a class=\"hamburger\">\r\n\t\t\t\t\t<svg viewBox=\"0 0 100 80\" width=\"40\" height=\"20\">\r\n\t\t\t\t\t  <rect width=\"100\" height=\"15\"><\/rect>\r\n\t\t\t\t\t  <rect y=\"30\" width=\"100\" height=\"15\"><\/rect>\r\n\t\t\t\t\t  <rect y=\"60\" width=\"100\" height=\"15\"><\/rect>\r\n\t\t\t\t\t<\/svg>\r\n\t\t\t\t\t<\/a>\r\n\t\t\t\t<\/li>\r\n\t\t\t<\/ul>\r\n\t\t\t<div class=\"register-wrapper width-2-5\"><a class=\"button\" href=\"#cost\">Cost & Registration<\/a><\/div>\r\n\t\t<\/div>\r\n\t\t<div class=\"width-full sub-menu\">\t\r\n\t\t\t<ul class=\"menu\">\r\n\t\t\t\t<li><a href=\"#overview\" id=\"overview-nav\">Overview<\/a><\/li>\r\n\t\t\t\t<li><a href=\"#instructors\" id=\"instructors-nav\">Instructors<\/a><\/li>\r\n\t\t\t\t<li><a href=\"#agenda\" id=\"agenda-nav\">Agenda<\/a><\/li>\r\n\t\t\t\t<li><a href=\"#faq\" id=\"faqs-nav\">FAQ<\/a><\/li>\r\n\t\t\t<\/ul>\r\n\t\t<\/div>\r\n\t<\/div>\r\n<\/nav>\r\n    <div id=\"neural-networks-content\">\r\n         <section id=\"main-heading-img\" class=\"main-heading\">\r\n\t\t\t<div class=\"inner\">\r\n\t\t\t<\/div> \r\n\t\t<\/section>  \r\n\t\t<section id=\"main-heading\" class=\"main-heading\">        \r\n            <div class=\"header-list inner\">\r\n\t\t\t\t<ul>\r\n\t\t\t\t\t<li>Artificial Intelligence<\/li>\r\n\t\t\t\t\t<li>Neural Network Framework<\/li>\r\n\t\t\t\t\t<li>Model Repository<\/li>\r\n\t\t\t\t\t<li>Machine Learning<\/li>\r\n\t\t\t\t\t<li>Training Neural Nets<\/li>\r\n\t\t\t\t\t<li>Classification<\/li>\r\n\t\t\t\t\t<li>Prediction<\/li>\r\n\t\t\t\t\t<li>Feature Extraction<\/li>\r\n\t\t\t\t\t<li>Net Surgery<\/li>\r\n\t\t\t\t\t<li>Network Layers<\/li>\r\n\t\t\t\t\t<li>Encoders<\/li>\r\n\t\t\t\t\t<li>Decoders<\/li>\r\n\t\t\t\t\t<li>Image Identification<\/li>\r\n\t\t\t\t<\/ul>            \r\n\t\t\t<\/div>\r\n        <\/section>\r\n        <section id=\"what-you-learn\">\r\n            <div class=\"inner\">\r\n                <h2>What You'll Learn<\/h2>\r\n                <p>In this two-week online boot camp, you'll learn what neural networks are, how you can use pre-trained networks and how to build and train your own models. Explore ways that AI and deep learning can be applied to text, image and audio analysis. Participants receive a certificate of boot camp completion, and those who demonstrate proficiency with boot camp coding exercises will be awarded Wolfram Certification Level 1 in neural networks. Participants who demonstrate applied expertise in building and training their own neural network model project will earn Level 2 certification.<\/p>\r\n            <\/div>\r\n        <\/section>\r\n        <section id=\"a-hands-on-introduction-to-neural-networks\">\r\n            <div class=\"inner\">\r\n                <h2>A Hands-on Introduction to Neural Networks<\/h2>\r\n                <p>The high-performance neural net framework integrated in Wolfram Language makes it easy to build networks from a wide variety of encoders, decoders and other symbolic layers. These networks can be immediately trained and deployed for use in different applications. All this can often be done with only a few lines of code, making deep learning accessible and approachable for new or existing Wolfram Language users and anyone wanting to learn about neural networks.<\/p>\r\n                <a href=\"https:\/\/reference.wolfram.com\/language\/guide\/NeuralNetworks.html\" ref=\"_blank\" class=\"large-link\"><span>Neural Networks in Wolfram Language<\/span> &raquo;<\/a>\r\n            <\/div>\r\n        <\/section>\r\n        <section id=\"instructors\">\r\n            <div class=\"inner\">\r\n                <h2>Instructors<\/h2>\r\n                <div class=\"instructors-grid\">\r\n                    <div>\r\n                        <div><img decoding=\"async\" alt=\"\" class=\"margin-t-0\" src=\"https:\/\/content.wolfram.com\/sites\/44\/2024\/04\/abritac-150x150.png\"><\/div>\r\n                        <div>\r\n                            <span class=\"speaker-name\">Wolfram Notebook Basics,<\/span><span class=\"speaker-name\">Neural Networks Overview<\/span> <span class=\"speaker-description\">Abrita Chakravarty<\/span> <span class=\"speaker-title\"><i>Content Developer, Wolfram U<\/i><\/span>\r\n                        <\/div>\r\n                    <\/div>\r\n                    <div>\r\n                        <div><img decoding=\"async\" alt=\"\" class=\"margin-t-0__1200\" src=\"http:\/\/content.wolfram.com\/sites\/44\/2022\/12\/neural-networks-boot-camp-arben-kalziqi.png\"><\/div>\r\n                        <div>\r\n                            <span class=\"speaker-name\">Getting Started with Wolfram Language<\/span> <span class=\"speaker-description\">Arben Kalziqi<\/span> <span class=\"speaker-title\"><i>Instructional Materials Manager, Wolfram U<\/i><\/span>\r\n                        <\/div>\r\n                    <\/div>\r\n                    <div>\r\n                        <div><img decoding=\"async\" alt=\"\" src=\"http:\/\/content.wolfram.com\/sites\/44\/2022\/12\/neural-networks-boot-camp-carlosg.png\"><\/div>\r\n                        <div>\r\n                            <span class=\"speaker-name\">Deep Learning Applications for Audio and Video Processing<\/span> <span class=\"speaker-description\">Carlo Giacometti<\/span> <span class=\"speaker-title\"><i>Manager of Sound & Vision, Wolfram Research<\/i><\/span>\r\n                        <\/div>\r\n                    <\/div>\r\n                    <div>\r\n                        <div><img decoding=\"async\" alt=\"\" src=\"http:\/\/content.wolfram.com\/sites\/44\/2022\/12\/neural-networks-boot-camp-giulioa.png\"><\/div>\r\n                        <div>\r\n                            <span class=\"speaker-name\">The Neural Net Framework<\/span> \r\n                            <span class=\"speaker-description\">Giulio Alessandrini<\/span> \r\n                            <span class=\"speaker-title\"><i>Manager of Machine Learning, Wolfram Research<\/i><\/span>\r\n                        <\/div>\r\n                    <\/div>\r\n                    <div>\r\n                        <div><img decoding=\"async\" alt=\"\" src=\"http:\/\/content.wolfram.com\/sites\/44\/2022\/12\/data-science-boot-camp-jofree.png\"><\/div>\r\n                        <div>\r\n                            <span class=\"speaker-name\">What Is a GPT (Generative Pre-trained Transformer)?<\/span> <span class=\"speaker-description\">Jofre Espigule-Pons<\/span> <span class=\"speaker-title\"><i>Research Scientist, Wolfram Research<\/i><\/span>\r\n                        <\/div>\r\n                    <\/div>\r\n                    <div>\r\n                        <div><img decoding=\"async\" alt=\"\" src=\"http:\/\/content.wolfram.com\/sites\/44\/2022\/12\/neural-networks-boot-camp-markus.png\"><\/div>\r\n                        <div>\r\n                            <span class=\"speaker-name\">Convolutional Networks for Image Computations<\/span> <span class=\"speaker-description\">Markus van Almsick<\/span> <span class=\"speaker-title\"><i>Sound & Vision Consultant & Researcher<\/i><\/span>\r\n\r\n                        <\/div>\r\n                    <\/div>\r\n                    <div>\r\n                        <div><img decoding=\"async\" alt=\"\" src=\"http:\/\/content.wolfram.com\/sites\/44\/2022\/12\/data-science-boot-camp-siria.png\"><\/div>\r\n                        <div>\r\n                            <span class=\"speaker-name\">Building Applications with the Wolfram Neural Net Repository<\/span> <span class=\"speaker-description\">Siria Sadeddin<\/span> <span class=\"speaker-title\"><i>Research Scientist, Wolfram Research<\/i><\/span>\r\n                        <\/div>\r\n                    <\/div>\r\n                     <div>\r\n                        <div><img decoding=\"async\" alt=\"\" src=\"http:\/\/content.wolfram.com\/sites\/44\/2022\/12\/neural-networks-boot-camp-timotheev.png\"><\/div>\r\n                        <div>\r\n                            <span class=\"speaker-name\">Deep Learning for Text Analysis<\/span> <span class=\"speaker-description\">Timothee Verdier, PhD<\/span> <span class=\"speaker-title\"><i>Kernel Developer, Wolfram Research<\/i><\/span>\r\n\r\n              \t\t\t<\/div>\r\n            \t\t<\/div>\r\n            \t<\/div>\r\n            <\/div>\t\r\n        <\/section>\r\n      <section id=\"quote\">\r\n\t\t\t<div class=\"inner\">\r\n\t\t\t\t<h2>Alumni<\/h2>\r\n\t\t\t\t<div class=\"carousel js-cd-hero js-cd-autoplay\">\r\n\t\t\t\t  <ul class=\"cd-hero__slider\">\r\n\t\t\t\t\t<li class=\"cd-hero__slide js-cd-slide cd-hero__slide--selected\">\r\n\t\t\t\t  <div class=\"grid-container slide-1\">\r\n\t\t\t\t\t<div class=\"left\">\r\n\t\t\t\t\t  <img loading=\"lazy\" decoding=\"async\" alt=\"\" class=\"\" width=\"560\" height=\"560\" src=\"\/\/content.wolfram.com\/sites\/44\/2025\/07\/nnbc-01.png\">\r\n\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"right\">\r\n\t\t\t\t\t  <ul>\r\n\t\t\t\t\t\t<li>\r\n\t\t\t\t\t\t\t<p class=\"the-quote-itself\">I have enjoyed all the lectures very much. The boot camp was very intense and covered many interesting areas of neural networks. Without the boot camp, I might not have looked into some of the fields that were covered....<\/p>\r\n\t\t\t\t\t\t\t<p class=\"attribution\">&mdash;&nbsp;Roland Roth <span class=\"white-space-nw\">(2024 Alum)<\/span><\/p>\r\n\t\t\t\t\t\t<\/li>\r\n\t\t\t\t\t  <\/ul>\r\n\t\t\t\t\t<\/div>\r\n\t\t\t\t  <\/div>\r\n\t\t\t\t<\/li>\r\n\t\t\t\t\t<li class=\"cd-hero__slide js-cd-slide\">\r\n\t\t\t\t  <div class=\"grid-container slide-2\">\r\n\t\t\t\t\t<div class=\"left\">\r\n\t\t\t\t\t  <img loading=\"lazy\" decoding=\"async\" alt=\"\" class=\"\" width=\"560\" height=\"560\" src=\"\/\/content.wolfram.com\/sites\/44\/2025\/07\/nnbc-02.png\">\r\n\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"right\">\r\n\t\t\t\t\t  <ul>\r\n\t\t\t\t\t\t<li>\r\n\t\t\t\t\t\t\t<p class=\"the-quote-itself\">[The instructors] were extremely knowledgeable in their field.<\/p>\r\n\t\t\t\t\t\t\t<p class=\"attribution\">&mdash;&nbsp;Anonymous Participant <span class=\"white-space-nw\">(2024 Alum)<\/span><\/p>\r\n\t\t\t\t\t\t<\/li>\r\n\t\t\t\t\t  <\/ul>\r\n\t\t\t\t\t<\/div>\r\n\t\t\t\t  <\/div>\r\n\t\t\t\t<\/li>\r\n\t\t\t <li class=\"cd-hero__slide js-cd-slide\">\r\n\t\t\t\t  <div class=\"grid-container slide-3\">\r\n\t\t\t\t\t<div class=\"left\">\r\n\t\t\t\t\t  <img loading=\"lazy\" decoding=\"async\" alt=\"\" class=\"\" width=\"560\" height=\"560\" src=\"\/\/content.wolfram.com\/sites\/44\/2025\/07\/nnbc-03.png\">\r\n\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"right\">\r\n\t\t\t\t\t  <ul>\r\n\t\t\t\t\t\t<li>\r\n\t\t\t\t\t\t\t<p class=\"the-quote-itself\">I learned a lot and would recommend the course to anyone interested in getting up to speed in neural networks.<\/p>\r\n\t\t\t\t\t\t\t<p class=\"attribution\">&mdash;&nbsp;Corey Maley <span class=\"white-space-nw\">(2024 Alum)<\/span><\/p>\r\n\t\t\t\t\t\t<\/li>\r\n\t\t\t\t\t  <\/ul>\r\n\t\t\t\t\t<\/div>\r\n\t\t\t\t  <\/div>\r\n\t\t\t\t<\/li> \r\n\t\t\t <li class=\"cd-hero__slide js-cd-slide\">\r\n\t\t\t\t  <div class=\"grid-container slide-4\">\r\n\t\t\t\t\t<div class=\"left\">\r\n\t\t\t\t\t  <img loading=\"lazy\" decoding=\"async\" alt=\"\" class=\"\" width=\"560\" height=\"560\" src=\"\/\/content.wolfram.com\/sites\/44\/2025\/07\/nnbc-04.png\">\r\n\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"right\">\r\n\t\t\t\t\t  <ul>\r\n\t\t\t\t\t\t<li>\r\n\t\t\t\t\t\t\t<p class=\"the-quote-itself\">It was a lot of fun, and I thank all of you for putting such a high-quality learning opportunity online.<\/p>\r\n\t\t\t\t\t\t\t<p class=\"attribution\">&mdash;&nbsp;Manfred Plagmann  <span class=\"white-space-nw\">(2024 Alum)<\/span><\/p>\r\n\t\t\t\t\t\t<\/li>\r\n\t\t\t\t\t  <\/ul>\r\n\t\t\t\t\t<\/div>\r\n\t\t\t\t  <\/div>\r\n\t\t\t\t<\/li>  \t\t\t\t   \r\n\t\t\t\t  <\/ul>\r\n\t\t\t\t\t<div class=\"cd-hero__nav\">\r\n\t\t\t\t\t\t<nav>\r\n\t\t\t\t\t\t\t<ul class=\"outer-ul\">\r\n\t\t\t\t\t\t\t\t<li class=\"scroll\">\r\n\t\t\t\t\t\t\t\t\t<ul class=\"inner-ul js-cd-nav\">\r\n\t\t\t\t\t\t\t\t\t\t<li class=\"cd-selected\"><a class=\"dot\" href=\"\"><\/a><\/li>\r\n\t\t\t\t\t\t\t\t\t\t<li><a class=\"dot\" href=\"\"><\/a><\/li>\r\n\t\t\t\t\t\t\t\t\t\t<li><a class=\"dot\" href=\"\"><\/a><\/li>\r\n\t\t\t\t\t\t\t\t\t\t<li><a class=\"dot\" href=\"\"><\/a><\/li>\r\n\t\t\t\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t\t\t<\/li>\r\n\t\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t<\/nav>\r\n\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\t\r\n\t\t\t<\/div>\r\n\t\t<\/section>\t\t\r\n\r\n        <section id=\"agenda\">\r\n\t\t\t<div class=\"inner\">\r\n\t\t\t\t<h2>Agenda<\/h2>\r\n\t\t\t\t<p>Tech mentors will be available throughout the camp for guidance and assistance.<\/p>\r\n\t\t\t\t<div class=\"grid cols-2 heirs-width-1-2 heirs-width-full__900\">\r\n\t\t\t\t\t<div>\r\n\t\t\t\t\t\t<h3>Week One<\/h3>\r\n\t\t\t\t\t\t<ul>\r\n\t\t\t\t\t\t\t<li><span>Wolfram Notebook Basics<\/span><\/li>\r\n\t\t\t\t\t\t\t<li><span>Getting Started with Wolfram Language<\/span><\/li>\r\n\t\t\t\t\t\t\t<li><span>Neural Networks Overview<\/span><\/li>\r\n\t\t\t\t\t\t\t<li><span>The Wolfram Neural Net Framework<\/span><\/li>\r\n\t\t\t\t\t\t\t<li><span>What Is a GPT (Generative Pre-trained Transformer)?<\/span><\/li>\r\n\t\t\t\t\t\t\t<li><span>Inside ChatGPT<\/span><\/li>\r\n\t\t\t\t\t\t\t<li><span>Programming with LLM Functions<\/span><\/li>\r\n\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t\t<h3>Week Two<\/h3>\r\n\t\t\t\t\t\t<ul>\r\n\t\t\t\t\t\t\t<li><span>Deep Learning for Text Analysis<\/span><\/li>\r\n\t\t\t\t\t\t\t<li><span>Building Applications with the Wolfram Neural Net Repository<\/span><\/li>\r\n\t\t\t\t\t\t\t<li><span>Convolutional Networks for Image Computations<\/span><\/li>\r\n\t\t\t\t\t\t\t<li><span>Deep Learning Applications for Audio and Video Processing<\/span><\/li>\r\n\t\t\t\t\t\t\t<li><span>Panel Discussion<\/li>\r\n\t\t\t\t\t\t\t<li><span>Project Presentations<\/li>\r\n\t\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<div class=\"typical-daily-schedule-wrapper\">\r\n\t\t\t\t\t\t<div class=\"typical-daily-schedule\">\r\n\t\t\t\t\t\t\t<h2>Typical Daily Schedule<\/h2>\r\n\t\t\t\t\t\t\t<h3>9&ndash;11:30am (all times are US CT)<\/h3>\r\n\t\t\t\t\t\t\t<p>Topic introductions, concept lectures, hands-on explorations<\/p>\r\n\t\t\t\t\t\t\t<h3>11:30am&ndash;1pm<\/h3>\r\n\t\t\t\t\t\t\t<p>Break<\/p>\r\n\t\t\t\t\t\t\t<h3>1&ndash;3pm<\/h3>\r\n\t\t\t\t\t\t\t<p>Topic introductions, concept lectures, hands-on explorations<\/p>\r\n\t\t\t\t\t\t\t<h3>3&ndash;4pm<\/h3>\r\n\t\t\t\t\t\t\t<p>Office hours<\/p>\r\n\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n        <\/section>\r\n        <section id=\"cost\">\r\n            <div class=\"inner\">\r\n                <h2>Cost &amp; Registration<\/h2>\r\n\r\n                <h3>Full Registration<\/h3>\r\n                <p>The registration fee for the two-week program is $2,000. Special pricing of $1,000 is available to educators and hobbyists. Student pricing is $500 with proof of student status. Your boot camp full registration includes links to all online lectures and exploration sessions; access to Wolfram staff, instructors and tech mentors via private chat channel, online breakout rooms and office hours; lecture and exercise notebooks; and a 30-day license to Wolfram|One with full access to the latest version of Wolfram Language. Level 1 and Level 2 certification assessments are also included with your boot camp registration.<\/p>\r\n            \r\n            <h3>Guest Pass<\/h3>\r\n            <p>The guest pass includes links to online lectures and associated notebook materials without additional access to Wolfram staff or certification. The guest pass rate is $500, with no additional special pricing available. The guest pass is a good option for anyone who has strong interest in the educational content of the boot camp but cannot commit to regular attendance or participation.<\/p>\r\n\r\n            <\/div>\r\n        <\/section>\r\n        <section id=\"faq\">\r\n            <div class=\"inner\">\r\n                <h2>FAQ<\/h2>\r\n                <h3>Who is the Wolfram Neural Networks Boot Camp for?<\/h3>\r\n                <p>Anyone who wants to learn about deep learning&mdash;at any stage of their career or education.<\/p>\r\n                <h3>What do I need in order to participate?<\/h3>\r\n                <p>You'll need a computer running the latest version of Wolfram Language, a reliable internet connection and the willingness to explore. A 30-day license to Wolfram|One will be provided upon request. Due to the online nature of this boot camp, please allow sufficient time to set up and test your webcam, audio settings and internet connection ahead of the start time. Watch your email inbox for your join links.<\/p>\r\n                <h3>How much programming do I need to know before the boot camp?<\/h3>\r\n                <p>Wolfram Language makes it easy for anyone to do high-level programming, and the model repository includes a collection of pre-trained networks, so you can get started right away. We will spend time introducing the Wolfram technology stack at the start of the boot camp, and tech mentors will be available to provide hands-on help for getting started, as needed. If you have experience with Wolfram Language, you'll be at an advantage.<\/p>\r\n                <h3>What math should I know for this boot camp?<\/h3>\r\n                <p>Neural networks use concepts from calculus, linear algebra, statistics and probability theory. Some helpful resources are available at <a href=\"\/wolfram-u\/\">Wolfram U<\/a>.<\/p>\r\n                <h3>What will I come away with from the boot camp?<\/h3>\r\n                <p>In addition to hands-on knowledge of neural networks, you'll know how to use trained and untrained models from the Wolfram Neural Net Repository and how to build and train your own models. Participants receive a certificate of boot camp completion, and those who demonstrate proficiency with boot camp coding exercises will be awarded <a href=\"https:\/\/www.wolfram.com\/wolfram-u\/certifications\/level1-neural-networks\/\">Level 1 certification<\/a> in neural networks. Participants who demonstrate applied expertise in completing a neural net project will earn <a href=\"https:\/\/www.wolfram.com\/wolfram-u\/certifications\/level2-neural-networks\/\">Level 2 certification<\/a> certification.<\/p>\r\n                <h3>What is a Level 2 neural network project?<\/h3>\r\n                <p>Everyone at the boot camp is encouraged to solve problems and answer questions by modifying and constructing neural networks, and participants have opportunities to work on exercises and get feedback on project work throughout the two-week boot camp. A Level 2 project involves communicating the results of your neural net analysis in an appealing and informative manner. <a href=\"https:\/\/www.wolfram.com\/wolfram-u\/certifications\/level2-neural-networks\/\">Level 2 certifications<\/a> have been earned in a variety of areas. Examples of successful projects include a rapid prediction of protein motion, efficient feature extraction of microscopy images, a recommendation and connection engine for arXiv papers and the creation of a physics-informed neural network.<\/p>\r\n                <h3>Can I bring proprietary data to the boot camp?<\/h3>\r\n                <p>To optimize the peer learning experience, we suggest that data used during the boot camp be something that can be shared with other attendees. However, special arrangements can be made, and our instructors will be operating under our standard corporate NDA.<\/p>\r\n                <h3>How does the boot camp compare to other Wolfram educational programs?<\/h3>\r\n                <p>The various Wolfram Summer School and Winter School programs are selective application-based programs for students who want to carry out original projects using Wolfram methodologies and contribute to ongoing research. The Neural Networks Boot Camp is a self-selecting program that promotes individual professional development in the area of neural nets.<\/h3>\r\n                <h3>What if I need to miss a lecture?<\/h3>\r\n                <p>The boot camp features a carefully curated collection of lectures, hands-on explorations and other special presentations to enhance learning. Many sessions are interactive by nature and must be attended in order to benefit. We understand that it might be unavoidable to miss a session at some point during the boot camp. Recordings of lectures will be made available, with the expectation that participants will catch up by watching any missed sessions.<\/p>\r\n                <h3>Where will the boot camp take place?<\/h3>\r\n                <p>The boot camp will be held online.<\/p>\r\n                <h3>What is the registration deadline?<\/h3>\r\n                <p>The registration deadline is December 22, 2025.<\/p>\r\n                <h3>What is the cancellation policy?<\/h3>\r\n                <p>A full refund will be given for a cancellation made by December 29, 2025.<\/p>\r\n                <h3>Where can I send questions about the boot camp?<\/h3>\r\n                <p>Contact the Wolfram U team at <a href=\"mailto:wolfram-u@wolfram.com\" target=\"_blank\">wolfram-u@wolfram.com<\/a>.<\/p>\r\n            <\/div>\r\n        <\/section>\r\n    <\/div>\r\n<\/section>\r\n","protected":false},"excerpt":{"rendered":"Wolfram Neural NetworksBoot&nbsp;Camp We're working on exciting changes to this boot camp program. Please check back later. Overview Instructors Agenda Cost &#038; Registration FAQ Cost &#038; Registration Overview Instructors Agenda FAQ Artificial Intelligence Neural Network Framework Model Repository Machine Learning Training Neural Nets Classification Prediction Feature Extraction Net Surgery Network Layers Encoders Decoders Image Identification [&hellip;]","protected":false},"author":1,"featured_media":1979,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1498","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/www.wolfram.com\/wolfram-u\/wp-json\/wp\/v2\/pages\/1498"}],"collection":[{"href":"https:\/\/www.wolfram.com\/wolfram-u\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.wolfram.com\/wolfram-u\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.wolfram.com\/wolfram-u\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.wolfram.com\/wolfram-u\/wp-json\/wp\/v2\/comments?post=1498"}],"version-history":[{"count":5,"href":"https:\/\/www.wolfram.com\/wolfram-u\/wp-json\/wp\/v2\/pages\/1498\/revisions"}],"predecessor-version":[{"id":5128,"href":"https:\/\/www.wolfram.com\/wolfram-u\/wp-json\/wp\/v2\/pages\/1498\/revisions\/5128"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.wolfram.com\/wolfram-u\/wp-json\/wp\/v2\/media\/1979"}],"wp:attachment":[{"href":"https:\/\/www.wolfram.com\/wolfram-u\/wp-json\/wp\/v2\/media?parent=1498"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}