learning Model
https://machinelearningmastery.com/5-step-life-cycle-neural-network-models-keras/
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Transfer Learning
Transfer learning or inductive transfer is a research problem in ML that focuses on storing knowledge gained while solving one problem and applying it to a different but related problem. For example, knowledge gained while learning to recognize Tigers could apply when trying to recognize Lions. There are two major transfer learning scenarios in Neural network …
Linear Regression by Keras
Linear Regression is a primitive technique of forecasting in ML, lets try this in Keras…
Tensorflow
TensorFlow, which was released to the public in November 2015. It quickly turned into a popular library for machine learning, and it is currently being used for natural language processing, artificial intelligence, computer vision, and predictive analytics.
Linear Regression(TensorFlow)
It is one of the most widely known modeling technique. In this technique, the dependent variable is continuous, independent variable(s) can be continuous or discrete, and nature of regression line is linear.Linear Regression establishes a relationship between dependent variable (Y) and one or more independent variables (X) using a best fit straight line (also known …