Implementation Of Deep Learning Algorithm With Perceptron Using Tensorflow

Implementation of Deep Learning Algorithm with Perception using Tensor Flow Library

Abstract

Now a day’s Deep Learning, highly focused concepts of data science. Deep learning has achieved success in the field of Computer Vision, Speech and Audio Processing, and Natural Language Processing. It has the strong learning ability that can choose up operation utilization of datasets for the feature extraction compared to usual Machine Learning Algorithm. Perception is the necessary building block for creating a deep Neural Network. The perceptron model is the more general computational model. It analyzes the unsupervised data, making it a valuable tool for data analytics. The main task of this project is to develop and analyze machine learning algorithm. It begins with deep learning with perceptron and how to apply it using Tensor Flow to solve various issues in data. The main part of these projects is to make perceptron learning algorithm well behave to supports non-separable training datasets. This type of algorithm is suitable for Machine Learning, Deep Learning.