APPLICATION OF SUPERVISED LEARNING
ARTIFICIAL INTELLIGENCE
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
Art
|
|
Input
|
|
Design
|
|
Neural Networks
|
Detailed explanation-1: -Some of the most important tools and frameworks are: Scikit Learn. TensorFlow. Theano.
Detailed explanation-2: -Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.
Detailed explanation-3: -TensorFlow It is also used to create large-scale neural networks with multiple layers. If you want to solve deep learning or machine learning problems like Classification, Perception, Understanding, Discovering, Prediction and Creation, TensorFlow is the right deep learning tool for you.
Detailed explanation-4: -Artificial neural networks are used for a range of applications, including image recognition, speech recognition, machine translation, and medical diagnosis. The fact that ANN learns from sample data sets is a significant advantage. The most typical application of ANN is for random function approximation.