- Practical Convolutional Neural Networks
- Mohit Sewak Md. Rezaul Karim Pradeep Pujari
- 221字
- 2021-06-24 18:58:47
About the authors
Mohit Sewak is a senior cognitive data scientist with IBM, and a PhD scholar in AI and CS at BITS Pilani. He holds several patents and publications in AI, deep learning, and machine learning. He has been the lead data scientist for some very successful global AI/ ML software and industry solutions and was earlier engaged in solutioning and research for the Watson Cognitive Commerce product line. He has 14 years of rich experience in architecting and solutioning with TensorFlow, Torch, Caffe, Theano, Keras, Watson, and more.
Md. Rezaul Karim is a research scientist at Fraunhofer FIT, Germany. He is also a PhD candidate at RWTH Aachen University, Germany. Before joining FIT, he worked as a researcher at the Insight Center for Data Analytics, Ireland. He was a lead engineer at Samsung Electronics, Korea.
He has 9 years of R&D experience with C++, Java, R, Scala, and Python. He has published research papers on bioinformatics, big data, and deep learning. He has practical working experience with Spark, Zeppelin, Hadoop, Keras, Scikit-Learn, TensorFlow, Deeplearning4j, MXNet, and H2O.
Pradeep Pujari is machine learning engineer at Walmart Labs and a distinguished member of ACM. His core domain expertise is in information retrieval, machine learning, and natural language processing. In his free time, he loves exploring AI technologies, reading, and mentoring.
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