Deep Learning, the area of Machine Learning dealing with neural networks based methods, has gained massive popularity. Lately, the research community has hinted limitations and expressed concerns about current trends and directions of Deep Learning and its ability to scale and solve future challenges such as reasoning.For this assignment submit a paper essay (1-2 pages, 500-700 words) comprising:- Context: Go over the readings provided in this section (urls available below for convenience). Provide your own view of the current context of the state of Deep Learning in the industry.- Positioning: Your own personal view of the achievements, usefulness & eventual limitations of Deep Learning- Rationale: Why do you think Deep Learning is useful or not and when (in what cases)- Skin in the game: State your expected commitment (if any) to learn and use Deep Learning methods in your professional career or in other academic endeavors- Answer the question: Will you pursue a specialization in Deep Learning in the future? Why?Op-Ed:Thompson, C (2018, November). How to Teach Artificial Intelligence Some Common Sense. Wired. https://www.wired.com/story/how-to-teach-artificial-intelligence-common-sense/ (Links to an external site.)LeVine, S (2017, September). Artificial intelligence pioneer says we need to start over. Axios. https://www.axios.com/artificial-intelligence-pioneer-says-we-need-to-start-over-1513305524-f619efbd-9db0-4947-a9b2-7a4c310a28fe.html (Links to an external site.)Technical reviews:Chollet, F (2017). The Future of Deep Learning. https://blog.keras.io/the-future-of-deep-learning.html (Links to an external site.)Chollet, F (2017). The Limitations of Deep Learning. https://blog.keras.io/the-limitations-of-deep-learning.html (Links to an external site.)Scholar papers:Marcus, G (2018). Deep Learning: A Critical Appraisal. arXiv:1801.00631 (Links to an external site.) [cs.AI] https://arxiv.org/abs/1801.00631 (Links to an external site.)
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