Deep Learning Software Engineer, Artificial Intelligence Products Group (AIPG)
Michał is a Deep Learning Software Engineer at Intel. He studied Computer Science at SUT in Gliwice, Poland for his Bachleor’s and Master’s but also took education in Techincal University of Denmark during Student’s exchange. He began working in Intel as an intern where his tasks included theoretical analysis of Deep Neural Networks performance on Intel’s hardware, integration of TensorFlow and Intel Aeon data loader, building framework for benchmarking the layer executions in Intel Caffe. He now works on framework optimization for Intel hardware in PaddlePaddle.
Softmax is a function used for classification problems in machine learning. It has been broadly applied to image classification in…