The HTML DOM Form name property is associated with the name attribute of the form element. The form name property is used for setting or getting the form name attribute value. The form name property gives the name to the form.SyntaxFollowing is the syntax for −Setting the form name −formObject.name ... Read More

The HTML DOM Form object is associated with the HTML element. We can create and access a form element using the createElement() and getElementById() method of the document object. We can set various properties of the form object and can get them too.PropertiesFollowing are the Form object properties −PropertyDescriptionacceptCharsetTo ... Read More

A set of Unicode strings can be represented as UTF8-encoded string using the ‘encode’ method.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?Models which process natural language handle different languages that have different character sets. Unicode is considered as the standard encoding system which ... Read More

The encoded string scalar can be converted to a vector of code points using the ‘decode’ method. The vector of code points can be converted to an encoded string scalar using the ‘encode’ method. The encoded string scalar can be converted to a different encoding using the ‘transcode’ method.Read More: ... Read More

Unicode strings are utf-8 encoded by default. Unicode string can be represented as UTF-8 encoded scalar values using the ‘constant’ method in Tensorflow module. Unicode strings can be represented as UTF-16 encoded scalar using the ‘encode’ method present in Tensorflow module.Read More: What is TensorFlow and how Keras work with ... Read More

Training and building the model with respect to the abalone data can be done using the ‘compile’ and ‘fit’ methods respectively. The ‘fit’ method also takes the number of epochs as the parameter.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?We will be using ... Read More

A normalization layer can be built using the ‘Normalization’ method present in the ‘preprocessing’ module. This layer is made to adapt to the features of the abalone dataset. In addition to this, a dense layer is added to improve the training capacity of the model. This layer will help pre-compute ... Read More

A sequential model can be built in Keras using the ‘Sequential’ method. The number and type of layers are specified inside this method.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?We will be using the abalone dataset, which contains a set of measurements of ... Read More

Once the abalone dataset has been downloaded using the google API, a few samples of the data can be displayed on the console using the ‘head’ method. If a number is passed to this method, that many rows would be displayed. It basically displays the rows from the beginning.Read More: ... Read More

The abalone dataset can be downloaded by using the google API that stores this dataset. The ‘read_csv’ method present in the Pandas library is used to read the data from the API into a CSV file. The names of the features are also specified explicitly.Read More: What is TensorFlow and ... Read More