[vc_row][vc_column][vc_headings linewidth=”0″ borderwidth=”1″ borderclr=”#000000″ title=”Liner AI” google_fonts=”font_family:Comfortaa%3A300%2Cregular%2C700|font_style:700%20bold%20regular%3A700%3Anormal” titlesize=”60″ titleclr=”#000000″]No-Code Machine Learning Training[/vc_headings][vc_single_image image=”5109″ img_size=”full” alignment=”center”][vc_column_text]Liner AI is a tool that simplifies the process of training ML models. You just need to provide your training data and Liner will generate an ML model that you can easily integrate with your applications. You don’t need to write any code or have any background in machine learning to use Liner. Liner AI is completely FREE![/vc_column_text][vc_btn title=”Visit Website” color=”warning” align=”center” i_align=”right” i_icon_fontawesome=”fas fa-external-link-alt” add_icon=”true” link=”url:https%3A%2F%2Fliner.ai%2F|target:_blank”][vc_separator][/vc_column][/vc_row][vc_row][vc_column][vc_headings style=”theme4″ borderclr=”#000000″ style2=”image” title=”How does it work?” google_fonts=”font_family:Comfortaa%3A300%2Cregular%2C700|font_style:700%20bold%20regular%3A700%3Anormal” lineheight=”3″ titlesize=”40″ titleclr=”#000000″ image_id=”2854″][/vc_headings][vc_column_text]Liner AI lets you create machine learning models with no coding required. You just need to provide some data that you want to train your model on. Liner AI will then give you a model that you can use in your app.[/vc_column_text][vc_column_text]1️⃣ Import your data
Load your data into Liner and explore it. You can also work with a dataset that already has labels.
2️⃣ Train with one click
Liner will automatically select a suitable model and train it for you.
3️⃣ Deploy your model
Export your model to various platforms and easily integrate it with your application.[/vc_column_text][vc_separator][/vc_column][/vc_row][vc_row][vc_column][vc_headings style=”theme4″ borderclr=”#000000″ style2=”image” title=”Features” google_fonts=”font_family:Comfortaa%3A300%2Cregular%2C700|font_style:700%20bold%20regular%3A700%3Anormal” lineheight=”3″ titlesize=”40″ titleclr=”#000000″ image_id=”2871″][/vc_headings][evc_icon_with_text type=”icon-left” icon_library=”fontawesome” title_tag=”” icon_fontawesome=”fas fa-images” title=”Image Classification” text=”Create a model that assigns labels to images based on their content.” text_color=”#0a0000″][evc_icon_with_text type=”icon-left” icon_library=”fontawesome” title_tag=”” icon_fontawesome=”fas fa-align-center” title=”Text Classification” text=”Create a model that assigns labels to texts based on their meaning.” text_color=”#0a0000″][evc_icon_with_text type=”icon-left” icon_library=”fontawesome” title_tag=”” icon_fontawesome=”fas fa-volume-up” title=”Audio Classification” text=”Create a model that assigns labels to sounds based on their source.” text_color=”#0a0000″][evc_icon_with_text type=”icon-left” icon_library=”fontawesome” title_tag=”” icon_fontawesome=”fas fa-play-circle” title=”Video Classification” text=”Create a model that assigns labels to video clips based on their content.” text_color=”#0a0000″][evc_icon_with_text type=”icon-left” icon_library=”fontawesome” title_tag=”” icon_fontawesome=”fas fa-draw-polygon” title=”Object Detection” text=”Create a model that identifies objects in an image and their location.” text_color=”#0a0000″][evc_icon_with_text type=”icon-left” icon_library=”fontawesome” title_tag=”” icon_fontawesome=”fas fa-users” title=”Image Segmentation” text=”Create a model that divides an image into regions based on their pixels.” text_color=”#0a0000″][evc_icon_with_text type=”icon-left” icon_library=”fontawesome” title_tag=”” icon_fontawesome=”fas fa-diagnoses” title=”Pose Classification” text=”Create a model that assigns labels to poses based on their shape.” text_color=”#0a0000″][vc_separator color=”sandy_brown” border_width=”3″][/vc_column][/vc_row][vc_row][vc_column][vc_headings style=”theme4″ borderclr=”#000000″ style2=”image” title=”ScreenShots” google_fonts=”font_family:Comfortaa%3A300%2Cregular%2C700|font_style:700%20bold%20regular%3A700%3Anormal” lineheight=”2″ titlesize=”40″ titleclr=”#000000″ image_id=”2996″][/vc_headings][vc_separator][vc_media_grid element_width=”12″ gap=”30″ item=”masonryMedia_Default” grid_id=”vc_gid:1695188356336-e5da1304-e42c-0″ include=”5113,5114,5115,5116″][/vc_column][/vc_row]
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