Deep Learning : The Subset of Machine Learning
The basic ideas and algorithms behind deep learning have been around for decades, but the massive use of deep learning in consumer and industrial applications has only occurred in the last few years. Two factors have especially driven the recent growth in AI applications, and especially deep learning solutions: increased computation power accelerated by cloud computing and growth in digital data.
With the Internet and connected devices, there is an increasing digitization of our world and massive amounts of data are being collected. Not only can deep learning techniques surpass humans in image recognition, but they are also pushing other areas, such as approaching human level in speech recognition. Deep learning has emerged recently as a powerful technique. Deep learning is the subset of machine learning. And, machine learning is the subset of artificial intelligence.
In this practice tests, the Deep Learning : The Subset of Machine Learning, you see – Deep Learning, What is deep learning ?, How deep learning works, Deep learning vs. Machine learning, How do artificial intelligence, machine learning, neural networks, and deep learning relate ?, How is deep learning different from neural networks ?, Deep learning applications, Deep learning hardware requirements, The Benefits of Deep Learning on the Cloud, Deep learning and IBM, IBM Watson Studio, and Deep learning and human brain. You will find the 67 questions 51 minutes (multiple choice questions, 25+26+16 questions, 19+20+12 minutes). You can make your notes of all questions and you can find the excellent knowledge (answer available of all questions).
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