Will be broken into small pictures and the image will be scanned through out and the patterns will be a scanned. This is CNN.
Computer learns through trial and error mechanism. It will learn from its mistake this is called reinforced machine learning. If computer successful it gets successful.
Machine learning is a traditional approach which has been for years. The deep learning is like a human brain when we try to replicate the entire human brain.
Deep learning we have layers of model.
Deep learning will try to find out the reason behind the increase of stock market. Machine learning will just tell if the stock market is going up or down.
More number of layers in the neutral layer the more accuracy. But the computational cost will increase and also it takes time to train the model.
One of the prominent difference between machine learning and deep learning is that after a certain amount of data the deep learning accuracy increases whereas machine learning almost constant.
CNN is for computer vision.
And RNN is for neural network.
Why are businesses adopting artificial intelligence?
AI is no more a myth. Customer experience is better. Helpful for chatbot. SIRI is useful.
Cost
Number of KPI- we can impact- perceived benefits
Increase in profit
How much manpower it can save
Target population?
Blue collar: Talking about the people working in factories. They were leaving in 2-3 months in a company XYZ. AI can analyse behaviour using video. There can be AI based psychometric test. In normal test there is fixed algorithm. In AI based psychometric test, the system will keep on learning. It’s a very inexpensive method. Maggi pays a lot of money to be at the eye level. If customer comes and there is no Maggi. There is a loss of customer.
Data Centric 