Google's Deepmind research group uses Tensorflow framework
Tensorflow is a python/C open-source machine learning framework
https://venturebeat.com/2016/04/29/deepmind-ai-group-moves-from-torch-framework-to-googles-own-tensorflow/
ML tutorial by Google
https://developers.google.com/machine-learning/crash-course/
AWS and Azure support MXNet
https://mxnet.apache.org/
Many other machine learning frameworks available:
https://en.wikipedia.org/wiki/Comparison_of_deep_learning_software
Spark MLlib is Apache Spark's scalable machine learning library i.e. machine learning for big data.
Spark is comparable and better than Hadoop Map Reduce.
Deep learning for Java
Just a portal
Apache Hadoop adopted a technique called mapreduce, which maps data queries across parallel processing resources and then reduces to useful results.
Keras (the Python Deep Learning library) is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation.
ImageAI is a State-of-the-art Recognition and Detection AI with few lines of code. http://imageai.org/
Frameworks for
- Image and text classification: TensorFlow, PyTorch, MediaPipe (https://ai.google.dev/edge/mediapipe/solutions/guide)
- Image classification: OpenCV
