The Future of Artificial Intelligence: Quantum Machine Learning & How it impacted on life - TechNilesh
Before I can give you the actual AI implementation, I would need to define some terms. Quantum Machine Learning is a term coined by Joshua Bloch. Quantum Machine Learning is really a version of Artificial Neural Networks (ANN) and is the opposite of Regular Neural Networks (RN). In RN, the output of the neural network is a number and is maintained throughout the process. So in a way, you can say that the neural network in one stage is creating the output of the neural network in another stage. In Quantum Machine Learning, instead of the output being a number, the output is a function of input numbers. In the case of general Artificial Neural Networks, when you set the parameters, you get a function as output.
Quantum Machine Learning
Credit https://www.sio.unam.mx/en/Math_and_Neuro_science_unit/mnt-decorum/mnt-bar.html https://bitbucket.org/magnetik/qml-library/issues/31 https://phys.org/news/2014-06-quantum-learning-quantum-neuro-brain-discovery.html https://arxiv.org/pdf/1307.4054.pdf This Quantum Machine Learning has high accuracy and see's correlation among 2-D electrodes in single neuron. Quantum computer and Human Brain. For those who do not know it, The human brain is a complex computer capable of immense computational power. A neural network processes information through a series of connections between neurons, much like a computer network, which allows a brain to make predictions about the future. Another name for a computer is a computational system.
Quantum Machine Learning Implementation
In my time I have played with: Python (one of the best for machine learning) PyTorch (a Python Library for machine learning) R (a Research Tool developed by NASA) Here are the videos that I am going to show you today on the new algorithms for Quantum Machine Learning. Quantum Machine Learning Implementation for Image Classification One of the best algorithms for image classification is LSTM (Long Short Term Memory) Please watch this video if you want to learn LSTM. LSTM Implementation in Pytorch LSTM Implementation for Deep Learning There is a model called ResNet (a Deep Neural Network model developed by Dr. Alex Krizhevsky at the Google Brain Team) R LSTM Quantum Learning Implementation for Estimators Here is an Estimator from Dr. Siraj Raval, Prof.
After reading this article , I would suggest to read about using simple AI for solving a computer vision problem using this method which produces interesting results.