How to find the best machine learning frameworks for you

Several machine learning frameworks have emerged to streamline the development and deployment of AI applications. These frameworks help abstract away the grunt work of testing and configuring AI workloads for experimentation, optimization and production. However, developers need to make some hard choices when it comes to picking the right framework. Some may want to focus on ease of use when training a new AI algorithm, while others may prioritize parameter optimization and production deployment. Different frameworks have different strengths and weaknesses in these diverse areas.