Logistic Regression in Keras
We all know logistic regression is a technique of binary classification in ML, lets try how to do this with Keras…
Different types of Activation functions in Deep Learning.
Activation functions What is Activation function: It is a transfer function that is used to map the output of one layer to another. In daily life when we think every detailed decision is based on the results of small things. let’s assume the game of chess, every movement is based on 0 or 1. So …
what is keras
Keras is an open source deep learning library written in python.It is capable of running on the top of MXNet,Deeplearning4j, Tensorflow,CNTK or Theano, Deeplearning4j, Tensorflow, CNTK or Theano. In 2017, Google’s TensorFlow team decided to support Keras in TensorFlow’s core library. Microsoft has been working to add a CNTK backend to Keras as well, and the functionality is …
learning Model
5 Step Life-Cycle for Neural Network Models in Keras
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…