User Interface and Usage
Teachable Machine developed by Google is widely regarded as one of the user AutoML platforms available. This web-based tool simplifies the process of building machine learning models for beginners in AI, enabling them to create models without any coding knowledge. Its versatility in classifying images, audios and even poses makes it highly appealing across industries. Users can develop highly functional AI models by following these steps: Data collection, training and testing.
Data Collection and Preparation
Teachable Machine distinguishes itself with its approach to data collection and categorization. Users have the option to upload existing datasets like the 10 Monkey Species from Kaggle or create their own using a webcam. The platform streamlines the data labeling process by allowing users to effortlessly create classes and upload images for each category. Once your classes are populated with sample images, you can immediately begin training your model.
Training Process
The platform excels in its training process. With just a single button to initiate training, there is no need for preprocessing or smoothing. Additionally, all training is conducted within your browser, ensuring that your data remains private and secure on your computer. This offers an advantage for individuals who work with data. The advanced features provide a training experience allowing you to easily adjust the number of training cycles, batch size and learning rate.
Testing and Evaluation
After completing the training process, performance testing can be seamlessly conducted through the preview pane. The model’s effectiveness can be evaluated using either a file or a webcam. The example provided shows classification accuracy, confirming its training process.
Exporting and Deployment
Last but not the least, Teachable Machine stands out when it comes to deploying models. You can export your trained model for use in websites, applications and more. Multiple export options are available including Tensorflow.js, Tensorflow and Tensorflow Lite. Whether you prefer downloading your model or hosting it online, Teachable Machine has got you covered.
