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We are required to set cookies with AJAX requests or in such a way that any AJAX request sends those cookies to the server.One thing to note here is that every AJAX request made to any remote server automatically sends all our cookies to that very server without us having to do anything. Therefore, with this thing clear, we just have to set a specific key to our document object using JavaScript and whenever we make a network call, that cookie will automatically be sent to the server which we are making the call to.The code for setting the cookie ... Read More
Problem:When we try to make network request to a remote server whose origin is different to our current url (from which we are making the request), we most likely get a CORS error due to different origin problem in the web, whereas while using a tool like Postman, we can successfully avoid this CORS error.We are required to explain the difference in behaviour of response when requested through web and when requested through an extension like postman.Explanation:When we make a network request to a different domain than our page is on using a web browser, it blocks that request and ... Read More
The key features/column names from the iris dataset can be extracted, by deleting the irrelevant features. This can be done using the ‘pop’ method.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?We will use the Keras Sequential API, which is helpful in building a sequential model that is used to work with a plain stack of layers, where every layer has exactly one input tensor and one output tensor.A neural network that contains at least one layer is known as a convolutional layer. We can use the Convolutional Neural Network to build learning model. TensorFlow ... Read More
Tensorflow can be used with premade estimator to download the iris dataset using the ‘get_file’ method present in Keras package. A Google API holds the iris dataset, which can be passed as parameter to the ‘get_file’ method.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?We will use the Keras Sequential API, which is helpful in building a sequential model that is used to work with a plain stack of layers, where every layer has exactly one input tensor and one output tensor.A neural network that contains at least one layer is known as a ... Read More
Tensorflow text can be used with whitespace tokenizer by calling the ‘WhitespaceTokenizer’’, which creates a tokenizer, that is used with the ‘tokenize’ method on the string.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?We will use the Keras Sequential API, which is helpful in building a sequential model that is used to work with a plain stack of layers, where every layer has exactly one input tensor and one output tensor.A neural network that contains at least one layer is known as a convolutional layer. We can use the Convolutional Neural Network to build ... Read More
The ‘wordshape’ method can be used along with specific conditions such as ‘HAS_TITLE_CASE’, ‘IS_NUMERIC_VALUE’, or ‘HAS_SOME_PUNCT_OR_SYMBOL’ to see if a string has a particular property.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?We will use the Keras Sequential API, which is helpful in building a sequential model that is used to work with a plain stack of layers, where every layer has exactly one input tensor and one output tensor.A neural network that contains at least one layer is known as a convolutional layer. We can use the Convolutional Neural Network to build learning ... Read More
The ‘tf.data’ API can be used to tokenize the strings. Tokenization is the method of breaking down a string into tokens. These tokens can be words, numbers, or punctuation.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?We will use the Keras Sequential API, which is helpful in building a sequential model that is used to work with a plain stack of layers, where every layer has exactly one input tensor and one output tensor.A neural network that contains at least one layer is known as a convolutional layer. We can use the Convolutional Neural ... Read More
The ‘UnicodeScriptTokenizer’ can be used to tokenize the data. The start and end offsets of every word in each sentence can be obtained.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?We will use the Keras Sequential API, which is helpful in building a sequential model that is used to work with a plain stack of layers, where every layer has exactly one input tensor and one output tensor.A neural network that contains at least one layer is known as a convolutional layer. We can use the Convolutional Neural Network to build learning model. TensorFlow Text ... Read More
Tensorflow text can be used to split the strings by character using ‘unicode_split’ method, by first encoding the split strings, and then assigning the function call to a variable. This variable holds the result of the function call.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?We will use the Keras Sequential API, which is helpful in building a sequential model that is used to work with a plain stack of layers, where every layer has exactly one input tensor and one output tensor.A neural network that contains at least one layer is known as ... Read More
The UTF-8 strings can be split using Tensorflow text. This can be done with the help of ‘UnicodeScriptTokenizer’. ‘UnicodeScriptTokenizer’ is a tokenizer that is created, after which the ‘tokenize’ method present in ‘UnicodeScriptTokenizer’ is called on the string.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?We will use the Keras Sequential API, which is helpful in building a sequential model that is used to work with a plain stack of layers, where every layer has exactly one input tensor and one output tensor.A neural network that contains at least one layer is known as ... Read More