Top Ten Open Source Deep Learning Tools to be aware of in 2022

Deep learning requires proper tools. Therefore, adapting to open source tools is more viable than buying proprietary ones. Artificial Intelligence is currently in a rediscovery stage, where researchers as well as programmers need a lot of room to experiment and explore. Precisely for this reason, many companies choose to use open source tools. Since deep learning requires the right tools, adapting to open source tools is more viable than buying proprietary tools, which sometimes slow down the development cycle while increasing the total cost of ownership (TCO). With open source deep learning tools, existing code can be redistributed and retuned so programmers can focus on challenges that are unique.