Top 3 AI Baselines

The following are the top three AI baselines:

• OpenAI Baselines:
• A collection of high-quality implementations of reinforcement learning (RL) algorithms. These implementations serve as starting points for researchers and practitioners working on RL tasks.
• The idea of OpenAI Baselines is to provide reliable and well-tested code which facilitates replication, refinement, and experimentation with new ideas in reinforcement learning.
• Baseline Models for Machine Learning:
• Used for comparison and evaluation. Here are three types of baseline models:
• Random Baseline Models: Such models provide a simple reference point. Example, a dummy classifier or regressor can help know if the ML model is learning anything meaningful.
• ML Baseline Models: Allow one to compare more complex models against a simple baseline.
• Automated ML Baseline Models: Generated automatically by tools such as AutoML.
• TensorFlow Baselines:
• Deep learning framework, which also has its own set of baseline models. Such models cover various tasks, including image classification, object detection, and natural language processing.
• TensorFlow Baselines are useful for experimentation as well ad reference when building custom models.