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Deep learning is a branch of artificial intelligence that learns to classify data, using neural networks. Its most basic principles were first observed in the 1940s by Shannon, and in the 1950s by Markov, who found that they could be applied to language recognition. In the 1980s, researchers from IBM created an unsupervised learning system (called “Watson”) to recognize patterns in the transcripts of televised public speeches. Four of my students from my deep learning class
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Deep Learning is one of the most interesting and challenging fields in the machine learning industry. It has recently become popular with the rapid developments of various deep learning applications. This field has enormous potential for the development of various applications across multiple domains. It has vast applications across the industries and various fields. But deep learning is not that easy to comprehend for beginners. However, you don’t need to be a tech whiz to make use of deep learning. It is a powerful tool that can help you create amazing models that outperform your previous models. Now