How do I get started with deep learning Quora?
How do I get started with deep learning Quora?
Deep Learning is composed of both Unsupervised and Supervised Learning….
- You need to know basic python(Its a must). If you don’t know the basic then read, Learn Python 3 the Hard Way.
- Then start out with Grokking Deep Learning book.
- Then you can move into learning different mathe.
What are the prerequisites for learning AI?
The following are the pre-requisites to learn Artificial Intelligence:
- Strong knowledge of Mathematics.
- Good command over programming languages.
- Good Analytical Skills.
- Ability to understand complex algorithms.
- Basic knowledge of Statistics and modeling.
How often are new papers published in deep learning?
With hundreds of papers being published every month, anybody who is serious about learning in this field cannot rely merely on tutorial-style articles or courses where someone else breaks down the latest research for him/her. How do you continue the learning after you have consumed that book or completed that amazing online course on Deep Learning?
What is the best way to learn deep learning?
Begin bouncing into Deep learning codes, following instructional exercises. Kaggle is an amazing asset for some awesome instructional exercises. Pick an algorithm you find in instructional exercises and look into how to compose it starting with no outside help. Truly delve into it.
Which paper rekindled all the interest in deep learning?
This is the paper that rekindled all the interest in Deep Learning. Authored by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton, and titled ImageNet Classification with Deep Convolutional Networks, this paper is regarded as one of the most influential papers in the field.
Is there a difference between theory and implementation papers in deep learning?
At least within deep learning, there are papers more focused on theory and others more focused on implementations. In terms of how you might want to approach your own interests and work, it may be easier to start off with implementations, as the effects of these papers are more concrete.