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Bot Libre now allows you to create generic deep learning analytics and train them through our web API. Deep learning analytics can be used for a wide array of purposes to analyze and make predications on data. This example shows how to train a deep learning analytic to play Connect 4.
You can use either the Bot Libre deep learning library, or the TensorFlow deep learning library. You can choose the inputs, outputs, and layers.
Bot Libre Analytic lets you easily train your own deep learning neural network without any programming. With Bot Libre you can create your own deep learning neural network for image recognition, audio and speech recognition, object detection, games, prediction, data analysis, and more. To create your own analytic see How to create your own deep learning neural network for image recognition
Bot Libre now allows you to create generic deep learning analytics and train them through our web API. Deep learning analytics can be used for a wide array of purposes to analyze and make predications on data. This example shows how to train a deep learning analytic to play checkers.
The website was updated to Bot Libre 7.9.0 today.
The updated includes a preview of many 8.0 features including:
The Bot Libre platform is not just a bot platform, but also a platform for artificial intelligence and deep learning. With Bot Libre you can create your own deep learning neural network for image recognition, audio and speech recognition, object detection, games, prediction, data analysis, and more.
Bot Libre now supports creating and hosting Deep Learning and Analytic services.
Deep Learning and Analytic services are different than bots, as they perform a specific analysis function. They do not chat, nor interact with users, but use artificial intelligence and deep learning to perform analysis such as classifying images, recognizing speech or faces, performing NLP functions, playing games, and analyzing data.
Bot Libre now supports bot analytics and charts for chat and social media. Analytics provide statistical data on how well your bot is performing, including analytics such as engaged conversations, user sentiment, and response confidence.