{"id":87291,"date":"2026-01-30T12:56:12","date_gmt":"2026-01-30T11:56:12","guid":{"rendered":"https:\/\/dev.promoculture.lu\/web\/produit\/non%20class\u00e9\/deep-learning-crash-course\/"},"modified":"2026-03-24T15:36:28","modified_gmt":"2026-03-24T14:36:28","slug":"deep-learning-crash-course","status":"publish","type":"product","link":"https:\/\/dev.promoculture.lu\/web\/produit\/entrepreneuriat\/informatique-et-electronique\/deep-learning-crash-course\/","title":{"rendered":"Deep Learning Crash Course"},"content":{"rendered":"<p><span class=\"a-text-italic\">Deep Learning Crash Course<\/span> is a fast-paced, thorough introduction that will have you building today\u2019s most powerful AI models from scratch. No experience with deep learning required!<\/p>\n<p>Designed for programmers who may be new to deep learning, this book offers practical, hands-on experience, not just an abstract understanding of theory.<\/p>\n<p>You\u2019ll start from the basics, and using PyTorch with real datasets, you\u2019ll quickly progress from your first neural network to advanced architectures like convolutional neural networks (CNNs), transformers, diffusion models, and graph neural networks (GNNs). Each project can be run on your own hardware or in the cloud, with annotated code available on GitHub.<\/p>\n<p>You\u2019ll build and train models to:<\/p>\n<ul class=\"a-unordered-list a-vertical\">\n<li><span class=\"a-list-item\">Classify and analyze images, sequences, and time series<\/span><\/li>\n<li><span class=\"a-list-item\">Generate and transform data with autoencoders, GANs (generative adversarial networks), and diffusion models<\/span><\/li>\n<li><span class=\"a-list-item\">Process natural language with recurrent neural networks and transformers<\/span><\/li>\n<li><span class=\"a-list-item\">Model molecules and physical systems with graph neural networks<\/span><\/li>\n<li><span class=\"a-list-item\">Improve continuously through reinforcement and active learning<\/span><\/li>\n<li><span class=\"a-list-item\">Predict chaotic systems with reservoir computing<\/span><\/li>\n<\/ul>\n<p>Whether you\u2019re an engineer, scientist, or professional developer, you\u2019ll gain fluency in deep learning and the confidence to apply it to ambitious, real-world problems. With <span class=\"a-text-italic\">Deep Learning Crash Course<\/span>, you\u2019ll move from using AI tools to creating them.<\/p>\n<h3>Auteurs<\/h3>\n<p> Giovanni Volpe, head of the Soft Matter Lab at the University of Gothenburg and recipient of the G\u00f6ran Gustafsson Prize in Physics, has published extensively on deep learning and physics and developed key software packages including DeepTrack, Deeplay, and BRAPH. Benjamin Midtvedt and Jes\u00fas Pineda are core developers of DeepTrack and Deeplay. Henrik Klein Moberg and Harshith Bachimanchi apply AI to nanoscience and holographic microscopy. Joana B. Pereira, head of the Brain Connectomics Lab at the Karolinska Institute, organizes the annual conference Emerging Topics in Artificial Intelligence. Carlo Manzo, head of the Quantitative Bioimaging Lab at the University of Vic, is the founder of the Anomalous Diffusion Challenge.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Deep Learning Crash Course is a fast-paced, thorough introduction that will have you building today\u2019s most powerful AI models from scratch. No experience with deep learning required! Designed for programmers who may be new to deep learning, this book offers practical, hands-on experience, not just an abstract understanding of theory. You\u2019ll start from the basics, [&hellip;]<\/p>\n","protected":false},"featured_media":87292,"template":"","meta":[],"product_brand":[],"product_cat":[142],"product_tag":[],"class_list":{"0":"post-87291","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-informatique-et-electronique","7":"product_shipping_class-standard","8":"pa_auteurs-giovanni-volpe-benjamin-midtvedt-jesus-pineda-henrik-klein-moberg-harshith-bachimanchi-carlo-manzo","9":"pa_editeur-no-starch-press","10":"pa_edition-janvier-2026","11":"pa_nombre-de-pages-20603","13":"first","14":"instock","15":"purchasable","16":"product-type-simple"},"exclude_global_add_ons":[],"addons":[],"_links":{"self":[{"href":"https:\/\/dev.promoculture.lu\/web\/wp-json\/wp\/v2\/product\/87291","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dev.promoculture.lu\/web\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/dev.promoculture.lu\/web\/wp-json\/wp\/v2\/types\/product"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dev.promoculture.lu\/web\/wp-json\/wp\/v2\/media\/87292"}],"wp:attachment":[{"href":"https:\/\/dev.promoculture.lu\/web\/wp-json\/wp\/v2\/media?parent=87291"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/dev.promoculture.lu\/web\/wp-json\/wp\/v2\/product_brand?post=87291"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/dev.promoculture.lu\/web\/wp-json\/wp\/v2\/product_cat?post=87291"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/dev.promoculture.lu\/web\/wp-json\/wp\/v2\/product_tag?post=87291"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}