Designing and Developing a Chatbot Using Machine Learning

Abstract

Deep Learning is a new area of Machine Learning and research, which was introduced with the aim of taking the Machine learning closer to one of its original and main goal which is: AI (Artificial intelligence). If we speak of automatic learning algorithm, they tend to be linear, the DL (Deep Learning) algorithms are configured to increase complexity and abstraction. To learn in depth, imagine a 5-year-old whose first word is cat. The child Keeps on learning what a cat is by showing objects and saying the word cat. The mother says: "Yes, it's a cat" or "No, it's not a cat". As the child continues to point objects, he becomes more aware of the characteristics and features of all cats. What the child does, without even Knowing what he is doing, it clarifies a very complex level of abstraction by constructing a scale in which each level of abstraction is created with the help of Knowledge acquired the layer which was before on the scale. The programs that run on the system which uses deep learning go through the same process. Each algorithm in the way that applies a non-linear approach on its input and it uses what it learns to make a statistical model from the given output. Repetition continues until the output has reached an acceptable point of correctness. The number of layers in which the process is passing at each stage is what gave the name a prefix as deep.