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Most people keep close eyes on the top of the fast-moving technology trends. There’s no doubt that deep learning is most trending buzzwords today. Deep learning has made a significant breakthrough and is applied in many areas like facial recognition, recognizing images and AlphaGo Games. Thus more and more people focus on deep learning and have great interests in teaching themselves. This post aims to find out the best answers about deep learning and give a starting point to those interested in learning deep learning.
Based on my experience, I think Quora is probably the the best source of free expert opinions out there as it is a vibrant question-and-answer website on any topic imaginable. There’s no doubt that many questions about web scraping are also arising on Quora. I have compiled the most commonly asked questions here, in hope that they’ll help guide you learn deep learning.
“What is deep learning?”
“Why is Deep Learning so popular and in demand these days?”
“What is the best way to learn machine learning and deep learning from scratch?”
“What are some good books/papers for learning deep learning?”
“Has there been any work on using deep learning for recommendation engines?”
“Does LinkedIn use Deep Learning?”
As you can see, many important considerations about deep learning are covered in questions, and even more in the answers. More enlightening questions are:
“What do you think of Deep Learning?”
“Is there something that Deep Learning will never be able to learn?”
“If deep learning is the future what is the need for machine learning methods like SVM, decision trees, Bayesian methods, Markov chain etc?”
If I had just one shot at advising someone to start learning deep learning, I would repeat the following question:
“What's the most effective way to get started with Deep Learning?”
Now that we’ve known many resources and answers online, how should we get to it?
Deep Learning is a popular topic and people are quite interested in it. Be careful to choose the resources and find someone to help you get started. Then picking with your own questions, you could get the data and solve the problems accordingly.
See more here.