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Market OverviewThe global Deep Learning Industry is proliferating rapidly, heading with increasing uses of DL capabilities in a number of applications. Rising applications of deep learning in weather and climate supercomputing sectors to augment NWP approaches, e.g., in resolving post-processing issues, drive market growth. Over the past couple of decades, the ability of NWP models in forecast prediction has continuously improved.With DL intervention, contemporary global NWP models are not only been able to predict the syno... more

Market OverviewThe need to enable more function in devices and machines are anticipated to motivate the deep learning market 2020. The information & communication technology industry reports are created by Market Research Future, which centers on market choices for expansion. A USD 17.40 billion revenue is expected to be created by the market by 2023.The advance in technologies such as voice/speech recognition and natural language processing are projected to spur deep learning as a service market. The demand for humanoid robots i... more

Market OverviewThe global Deep Learning Market Analysis is proliferating rapidly, heading with increasing uses of DL capabilities in a number of applications. Rising applications of deep learning in weather and climate supercomputing sectors to augment NWP approaches, e.g., in resolving post-processing issues, drive market growth. Over the past couple of decades, the ability of NWP models in forecast prediction has continuously improved.With DL intervention, contemporary global NWP models are not only been able to predict t... more

Deep learning is a subset of machine learning that tries to mimic human behavior without supervision. Construction of large neural networks and feeding of large volumes of data for distinguishing between humans and objects forms a vital point of this technology. The global Deep Learning Market Growth report by Market Research Future (MRFR) covers latest updates and prospects in novel applications in the industry for the period of 2018 to 2023 (forecast period). The COVID-19 outbreak and its implications are outlined in the ... more