Liner - Train AI models in minutes without coding

Liner operates as an end-to-end, no-code platform for training machine learning models. Users start by importing their datasets, which can be either their own or pre-labeled datasets provided by Liner. Once the data is imported, users can initiate the training process with a single click. Liner automatically selects the most suitable machine learning model based on the data type and begins the training process, which is optimized to be fast and efficient, even on CPUs. After the model is trained, users can export it to various platforms for easy integration into their applications. The entire process is designed to be user-friendly, ensuring that even individuals with no prior experience in machine learning can successfully create and deploy ML models. Liner also prioritizes data privacy, as all training occurs locally on the user's machine, further enhancing the security of sensitive data.

Getting started with Liner is as easy as 1-2-3. First, import your data into the platform, whether it’s your own dataset or a pre-labeled one from Liner's library. Next, simply click the 'train' button, and Liner will automatically select the best model for your data type and begin training. Lastly, export your trained model to your desired platform for integration into your application. It's that simple!

In summary, Liner offers a user-friendly platform for anyone interested in training machine learning models without the need for coding. Its intuitive interface, fast processing, and variety of project templates cater to both beginners and experienced developers alike. With Liner, the potential of machine learning is accessible to all.