Applications of Deep Neural Networks Course Overview (1.1, Fall 2022)

Fall 2022 Version. Applications of deep neural networks is a course offered in a hybrid format by Washington University in St. Louis. This course introduces Keras deep neural networks and highlights applications that neural networks are particularly adept at handling compared to previous machine learning models. Code for This Video: https://github.com/jeffheaton/t81_558_deep_learning/blob/master/t81_558_class_01_1_overview.ipynb ~~~~~~~~~~~~~~~ COURSE MATERIAL ~~~~~~~~~~~~~~~ Textbook - https://www.heatonresearch.com/book/applications-deep-neural-networks-keras.html GitHub - https://github.com/jeffheaton/t81_558_deep_learning ▶️ Play List - https://www.youtube.com/playlist?list=PLjy4p-07OYzulelvJ5KVaT2pDlxivl_BN WUSTL Course Site - https://sites.wustl.edu/jeffheaton/t81-558/ ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ ️ Website: https://www.heatonresearch.com/ Twitter - https://twitter.com/jeffheaton GitHub - https://github.com/jeffheaton Instagram - https://www.instagram.com/jeffheatondotcom/ Discord: https://discord.gg/3bjthYv ▶️ Subscribe: https://www.youtube.com/c/heatonresearch?sub_confirmation=1 ~~~~~~~~~~~~~~ SUPPORT ME ~~~~~~~~~~~~~~ Patreon - https://www.patreon.com/jeffheaton Other Ways to Support (some free) - https://www.heatonresearch.com/support.html ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ #Python #Tensorflow #Keras