Popular posts from this blog
Getting Started With Machine Learning | Neural Networks Keras : Python Deep Learning Library Keras is a high level neural networks API. Written in python. Capable of running on top of tensor flow. This was developed with the focus on enabling fast experimentation. Advantages of using Keras Provides easy and fast prototyping User friendly Modularity Extensibility Supports convolutional networks , recurrent networks and the combinations of both. Compatible with python 2.7 to 3.6
Getting familiar with Machine Learning | Neural networks vocabulary Neural networks always performs well with training. To perform training on the neural network we need data. Following is the example data set of iris flowers. It has 5 columns. Sepel length, Sepel width , Petal Length , Petal Width decides the species of the iris flowers. We are going to predict the species of a particular flower depending on these characteristics. According to that knowledge we have 4 characteristics of data which we know. We call them features. So Sepel length, Sepel width , Petal Length , Petal Width are the features of this data set. Species field is the label which we are going to predict. Rows of this data set are called examples . Which means , example is a set of features and labels for a particular record. We can optimize the neural network model by training. When we train the model by using the examples with labels we call...

Comments
Post a Comment