{"id":187,"date":"2024-03-26T15:11:48","date_gmt":"2024-03-26T15:11:48","guid":{"rendered":"https:\/\/education.ufl.edu\/sharkai\/?page_id=187"},"modified":"2024-05-01T18:11:12","modified_gmt":"2024-05-01T18:11:12","slug":"module-3","status":"publish","type":"page","link":"https:\/\/education.ufl.edu\/sharkai\/curriculum\/module-3\/","title":{"rendered":"Module 3"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Header&#8221; _builder_version=&#8221;4.24.0&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#1C2F3D&#8221; use_background_color_gradient=&#8221;on&#8221; background_color_gradient_stops=&#8221;#041a3d 0%|rgba(25,69,136,0.24) 39%&#8221; background_image=&#8221;https:\/\/education.ufl.edu\/sharkai\/files\/2024\/03\/ai-20.png&#8221; background_position=&#8221;top_left&#8221; locked=&#8221;off&#8221; collapsed=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.19.2&#8243; _module_preset=&#8221;default&#8221; max_width=&#8221;800px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.19.2&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.24.0&#8243; _module_preset=&#8221;c417ef0d-e927-4f7a-92d4-2634b80dd8a6&#8243; link_font=&#8221;|800||on|||||&#8221; link_text_color=&#8221;#6FCAFC&#8221; link_font_size=&#8221;13px&#8221; link_letter_spacing=&#8221;1px&#8221; header_text_color=&#8221;#194588&#8243; custom_margin=&#8221;||0px|||&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p style=\"text-align: center;\"><a href=\"http:\/\/education.ufl.edu\/sharkai\" class=\"breadcrumb-link-white\">Home<\/a> <a href=\"\/sharkai\/curriculum\" class=\"breadcrumb-link-white\">Curriculm<\/a><a href=\"\/sharkai\/curriculum\/module-3\" class=\"breadcrumb-link-white\">Module 3<\/a><\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.24.0&#8243; _module_preset=&#8221;_initial&#8221; header_font=&#8221;||||||||&#8221; header_text_color=&#8221;#FFFFFF&#8221; header_font_size=&#8221;50px&#8221; header_line_height=&#8221;1.2em&#8221; text_orientation=&#8221;center&#8221; custom_margin=&#8221;10px||10px||true|false&#8221; header_font_size_tablet=&#8221;40px&#8221; header_font_size_phone=&#8221;24px&#8221; header_font_size_last_edited=&#8221;on|desktop&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h1>Training and Evaluating Machine Learning (ML) Models<\/h1>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;FAQ&#8221; _builder_version=&#8221;4.24.0&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;gcid-1bcf785a-50e1-437b-b09f-65567babc1de&#8221; locked=&#8221;off&#8221; collapsed=&#8221;on&#8221; global_colors_info=&#8221;{%22gcid-1bcf785a-50e1-437b-b09f-65567babc1de%22:%91%22background_color%22%93}&#8221;][et_pb_row _builder_version=&#8221;4.19.5&#8243; _module_preset=&#8221;default&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.19.2&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_button button_url=&#8221;https:\/\/education.ufl.edu\/sharkai\/files\/2024\/04\/Module3.pdf&#8221; url_new_window=&#8221;on&#8221; button_text=&#8221;Download Module 3 PDF&#8221; button_alignment=&#8221;center&#8221; _builder_version=&#8221;4.24.0&#8243; _module_preset=&#8221;default&#8221; custom_button=&#8221;on&#8221; button_text_size=&#8221;18px&#8221; button_text_color=&#8221;#1c2f3d&#8221; button_bg_color=&#8221;#EDBA75&#8243; button_border_width=&#8221;2px&#8221; button_border_color=&#8221;#EDBA75&#8243; button_border_radius=&#8221;80px&#8221; button_font=&#8221;|600|||||||&#8221; button_icon=&#8221;&#xe004;||divi||400&#8243; button_on_hover=&#8221;off&#8221; custom_margin=&#8221;||40px||false|false&#8221; custom_padding=&#8221;12px|48px|12px|28px|true|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221; button_bg_color__hover_enabled=&#8221;on|desktop&#8221; button_bg_color__hover=&#8221;RGBA(255,255,255,0)&#8221; button_bg_enable_color__hover=&#8221;on&#8221; button_text_color__hover_enabled=&#8221;on|hover&#8221; button_text_color__hover=&#8221;#EDBA75&#8243;][\/et_pb_button][et_pb_text _builder_version=&#8221;4.24.0&#8243; _module_preset=&#8221;_initial&#8221; header_2_font=&#8221;|700|||||||&#8221; header_2_text_color=&#8221;rgba(255,255,255,0.83)&#8221; header_2_font_size=&#8221;36px&#8221; header_2_line_height=&#8221;1.2em&#8221; custom_margin=&#8221;||4px|||&#8221; header_2_font_size_tablet=&#8221;32px&#8221; header_2_font_size_phone=&#8221;20px&#8221; header_2_font_size_last_edited=&#8221;on|desktop&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>Module Overview<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.24.0&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;|600|||||||&#8221; text_text_color=&#8221;rgba(255,255,255,0.92)&#8221; text_line_height=&#8221;1.8em&#8221; global_colors_info=&#8221;{}&#8221;]In this module, students will create their own machine learning models to classify fossil shark teeth using Google\u2019s Teachable Machine (GTM). Students will upload images to GTM to produce an image-based computer vision model. These models will reflect the paleontologist classification schemes (taxonomy and functional morphology) that were described in Module 2. In the next module, we will explore different techniques and tools for identifying sources of bias in these models. [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.24.0&#8243; _module_preset=&#8221;default&#8221; use_background_color_gradient=&#8221;on&#8221; background_color_gradient_direction=&#8221;128deg&#8221; background_color_gradient_stops=&#8221;rgba(31,126,152,0.43) 0%|rgba(28,47,61,0) 100%&#8221; custom_padding=&#8221;52px|36px|52px|36px|true|true&#8221; border_radii=&#8221;on|12px|12px|12px|12px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.24.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.24.0&#8243; _module_preset=&#8221;default&#8221; text_text_color=&#8221;#f7f7f7&#8243; header_2_text_color=&#8221;#28BECC&#8221; header_3_text_color=&#8221;rgba(255,255,255,0.83)&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3>Driving Question<\/h3>\n<p><span style=\"font-weight: 400;\">Can we create a model to identify fossil shark teeth?<\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_2,1_2&#8243; _builder_version=&#8221;4.24.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;24px||24px||true|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.24.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.24.0&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;|600|||||||&#8221; text_text_color=&#8221;#ffffff&#8221; header_3_text_color=&#8221;#EDBA75&#8243; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3>Primary Learning Objectives<\/h3>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Understand the input and output data in machine learning models<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Recognize that data organization is determined by the research question being asked<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Interpret the model output data (model predictions) and evaluate the classification accuracy<\/span><\/li>\n<\/ul>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.24.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.24.0&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;|600|||||||&#8221; text_text_color=&#8221;#ffffff&#8221; link_text_color=&#8221;#28BECC&#8221; header_3_text_color=&#8221;#EDBA75&#8243; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3>Materials<\/h3>\n<ul>\n<li><a href=\"https:\/\/docs.google.com\/presentation\/d\/11ADHZQqv_siKtp73LNm9kMjvTuBB49AYF3HfFqtRl5E\/edit#slide=id.p\" target=\"_blank\" rel=\"noopener\">Link to Module 3 Slides<span class=\"material-symbols-outlined\"><br \/>\nopen_in_new<\/span><\/a><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Computer<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Shark Tooth Kits<\/span><\/li>\n<\/ul>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.19.5&#8243; _module_preset=&#8221;default&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.19.2&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.24.0&#8243; _module_preset=&#8221;_initial&#8221; header_2_font=&#8221;|700|||||||&#8221; header_2_text_color=&#8221;rgba(255,255,255,0.83)&#8221; header_2_font_size=&#8221;36px&#8221; header_2_line_height=&#8221;1.2em&#8221; custom_margin=&#8221;||4px|||&#8221; header_2_font_size_tablet=&#8221;32px&#8221; header_2_font_size_phone=&#8221;20px&#8221; header_2_font_size_last_edited=&#8221;on|desktop&#8221; header_2_text_shadow_style=&#8221;preset2&#8243; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>In-Class Lesson Guide<\/h2>\n<p>[\/et_pb_text][et_pb_toggle title=&#8221;Activity 1: Train a Shark Tooth Classification Model&#8221; open_toggle_text_color=&#8221;#6FCAFC&#8221; icon_color=&#8221;rgba(255,255,255,0.92)&#8221; _builder_version=&#8221;4.24.0&#8243; _module_preset=&#8221;default&#8221; title_text_color=&#8221;rgba(255,255,255,0.92)&#8221; title_level=&#8221;h4&#8243; title_font=&#8221;Inter||||||||&#8221; body_text_color=&#8221;#ffffff&#8221; body_font_size=&#8221;15px&#8221; background_color=&#8221;RGBA(255,255,255,0)&#8221; hover_enabled=&#8221;0&#8243; border_color_all=&#8221;#6FCAFC&#8221; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<ul>\n<li>Review the terms artificial intelligence, machine learning, and computer vision.<\/li>\n<li>The first model we will create will be a species-based model to identify five different types of sharks and rays. (These are the same species included in the Shark Tooth Kits).<\/li>\n<li>Model creation can be freeform or structured.<\/li>\n<ul class=\"arrow-bullets\">\n<li>For a freeform experimentation, provide students with access to images that were derived from the Florida Museum, Calvert Marine Museum, and the myFOSSIL eMuseum.<\/li>\n<li>For a structured experimentation, provide students with pre-selected images from these sources.<\/li>\n<\/ul>\n<li>Go to <a href=\"https:\/\/teachablemachine.withgoogle.com\/\" target=\"_blank\" rel=\"noopener\">Google\u2019s Teachable Machine<\/a> and start an image-based model.<\/li>\n<li><span style=\"font-weight: 400;\">Label each class as a different species: Gray Shark, Snaggletooth Shark, Sand Tiger Shark, Megatooth Shark, and Eagle Ray.<\/span><\/li>\n<li>Upload images of each species to their respective classes. (Recommend having at least 30 images per class).<\/li>\n<ul class=\"arrow-bullets\">\n<li>Images are available in this Google Drive folder.<\/li>\n<\/ul>\n<li>Before you train your model, select \u201cSave Project to Drive\u201d in the top left corner. (This will let you re-upload your model if you want to make changes later).<\/li>\n<li><span style=\"font-weight: 400;\">If you don\u2019t want to upload the images yourself, you can load this <\/span><a href=\"https:\/\/teachablemachine.withgoogle.com\/train\/image\/1OIRvYRH9x1iTfUZP7HGA9A48tPtC0kgR\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">pre-made dataset<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Click \u201cTrain Model\u201d to generate your machine learning model. (This may take a couple of minutes but should be fairly quick).<\/span><\/li>\n<\/ul>\n<p>[\/et_pb_toggle][et_pb_toggle title=&#8221;Activity 2: Train a Shark Tooth Function Model&#8221; open_toggle_text_color=&#8221;#6FCAFC&#8221; icon_color=&#8221;rgba(255,255,255,0.92)&#8221; _builder_version=&#8221;4.24.0&#8243; _module_preset=&#8221;default&#8221; title_text_color=&#8221;rgba(255,255,255,0.92)&#8221; title_level=&#8221;h4&#8243; title_font=&#8221;Inter||||||||&#8221; body_text_color=&#8221;#ffffff&#8221; body_font_size=&#8221;15px&#8221; background_color=&#8221;RGBA(255,255,255,0)&#8221; border_color_all=&#8221;#6FCAFC&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The second model we will create will be a tooth function model to identify cutting, grasping, and crushing type teeth.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">This model will use the same images as the previous model, but they will be re-organized into these functional categories.<\/span><\/li>\n<li aria-level=\"1\"><span style=\"font-weight: 400;\">Go to <\/span><a href=\"https:\/\/teachablemachine.withgoogle.com\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Google\u2019s Teachable Machine<\/span><\/a><span style=\"font-weight: 400;\"> and start an image-based model.\u00a0<\/span><\/li>\n<li aria-level=\"1\"><span style=\"font-weight: 400;\">Label each class as a different tooth function: cutting, grasping, and crushing.<\/span><\/li>\n<li aria-level=\"1\"><span style=\"font-weight: 400;\">Upload images of each tooth function to their respective classes. (Recommend having at least 30 images per class).<\/span><\/li>\n<ul class=\"arrow-bullets\">\n<li aria-level=\"2\"><span style=\"font-weight: 400;\">Images are available in this <\/span><a href=\"https:\/\/drive.google.com\/drive\/folders\/1dS_YFaTbCJpCSS2e750HHucftKwxwr0O\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Google Drive folder<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/li>\n<\/ul>\n<li aria-level=\"1\"><span style=\"font-weight: 400;\">Before you train your model, select \u201cSave Project to Drive\u201d in the top left corner. (This will let you re-upload your model if you want to make changes later).\u00a0<\/span><\/li>\n<li aria-level=\"1\"><span style=\"font-weight: 400;\">If you don\u2019t want to upload the images yourself, you can load this <\/span><a href=\"https:\/\/teachablemachine.withgoogle.com\/train\/image\/1n8TUL6p6mzxCY3K-hC4c8j9tncMnesjE\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">pre-made dataset<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/li>\n<li aria-level=\"1\"><span style=\"font-weight: 400;\">Click \u201cTrain Model\u201d to generate your machine learning model. (This may take a couple of minutes but should be fairly quick).<\/span><\/li>\n<\/ul>\n<p>[\/et_pb_toggle][et_pb_toggle title=&#8221;Activity 3:  Evaluating Model Accuracy&#8221; open_toggle_text_color=&#8221;#6FCAFC&#8221; icon_color=&#8221;rgba(255,255,255,0.92)&#8221; _builder_version=&#8221;4.24.0&#8243; _module_preset=&#8221;default&#8221; title_text_color=&#8221;rgba(255,255,255,0.92)&#8221; title_level=&#8221;h4&#8243; title_font=&#8221;Inter||||||||&#8221; body_text_color=&#8221;#ffffff&#8221; body_font_size=&#8221;15px&#8221; background_color=&#8221;RGBA(255,255,255,0)&#8221; border_color_all=&#8221;#6FCAFC&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<ul>\n<li aria-level=\"1\"><span style=\"font-weight: 400;\">We are now going to evaluate our model\u2019s accuracy. (You can choose either of the models created in the previous activities).<\/span><\/li>\n<li aria-level=\"1\"><span style=\"font-weight: 400;\">From this <\/span><a href=\"https:\/\/teachablemachine.withgoogle.com\/train\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">page<\/span><\/a><span style=\"font-weight: 400;\">, select \u201cOpen an existing project from Drive.\u201d and upload one of the models that you created in the previous activity. Or load one of the pre-made models.\u00a0<\/span><\/li>\n<li aria-level=\"1\"><span style=\"font-weight: 400;\">To test the model, you can use the teeth from the Shark Tooth Kits or you can use images from the internet. (Make sure these are not the same images used to train your model.)<\/span>\n<ul class=\"arrow-bullets\">\n<li>If you choose to use actual teeth, you can hold them up to the computer webcam or take a photo and upload it.<\/li>\n<\/ul>\n<\/li>\n<li>Record the number of correct and incorrect predictions made by the model.<\/li>\n<li>To calculate your model\u2019s overall accuracy, divide the number of correct identifications by the total number of images tested. (E.g., if you tested 10 images and the model correctly identified 7, then your model is 70% accurate).\n<\/li>\n<ul class=\"arrow-bullets\">\n<li>Recommend testing each class in your model with at least 5 images.<\/li>\n<\/ul>\n<\/ul>\n<p>[\/et_pb_toggle][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_2,1_2&#8243; _builder_version=&#8221;4.24.0&#8243; _module_preset=&#8221;default&#8221; max_width=&#8221;1600px&#8221; custom_margin=&#8221;60px||10px||false|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.24.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_button button_url=&#8221;@ET-DC@eyJkeW5hbWljIjp0cnVlLCJjb250ZW50IjoicG9zdF9saW5rX3VybF9wYWdlIiwic2V0dGluZ3MiOnsicG9zdF9pZCI6IjE4NSJ9fQ==@&#8221; button_text=&#8221;Module 2&#8243; button_alignment=&#8221;left&#8221; _builder_version=&#8221;4.24.0&#8243; _dynamic_attributes=&#8221;button_url&#8221; _module_preset=&#8221;default&#8221; custom_button=&#8221;on&#8221; button_text_size=&#8221;18px&#8221; button_text_color=&#8221;#6FCAFC&#8221; button_border_width=&#8221;1px&#8221; button_border_radius=&#8221;0px&#8221; button_font=&#8221;|||on|||||&#8221; button_icon=&#8221;&#x23;||divi||400&#8243; button_icon_placement=&#8221;left&#8221; button_on_hover=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_button][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.24.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_button button_url=&#8221;@ET-DC@eyJkeW5hbWljIjp0cnVlLCJjb250ZW50IjoicG9zdF9saW5rX3VybF9wYWdlIiwic2V0dGluZ3MiOnsicG9zdF9pZCI6IjE4OSJ9fQ==@&#8221; button_text=&#8221;Module 4&#8243; button_alignment=&#8221;right&#8221; _builder_version=&#8221;4.24.0&#8243; _dynamic_attributes=&#8221;button_url&#8221; _module_preset=&#8221;default&#8221; custom_button=&#8221;on&#8221; button_text_size=&#8221;18px&#8221; button_text_color=&#8221;#6FCAFC&#8221; button_border_width=&#8221;1px&#8221; button_border_radius=&#8221;0px&#8221; button_font=&#8221;|||on|||||&#8221; button_icon=&#8221;&#x24;||divi||400&#8243; button_on_hover=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":21,"featured_media":0,"parent":11,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-187","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.0 (Yoast SEO v22.0) - 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