A convolutional neural network would generally consist of combination of the following layers: Convolutional layers, Pooling layers and Dense layers.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?Convolutional neural networks have been used to produce great results for a specific kind of problems, such ... Read More

The CIFAR dataset can be verified by plotting the images present in the dataset on the console. Since the CIFAR labels are arrays, an extra index would be needed. The ‘imshow’ method from the ‘matplotlib’ library is used to display the image.Read More: What is TensorFlow and how Keras work ... Read More

The CIFAR dataset can be downloaded using the ‘load_data’ method which is present in the ‘datasets’ module. It is downloaded, and the data is split into training set and validation set.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?We will use the Keras Sequential ... Read More

The word code point of a ragged tensor can be segmented in the following method: Segmentation refers to the act of splitting text into word-like units. This is used in cases where space characters are utilized in order to separate words, but some languages like Chinese and Japanese don’t use ... Read More

A RaggedTensor can be built by using the starting offsets of the words in the sentence. Firstly, the code point of every character in every word in the sentence is built. Next, they are displayed on the console. The number of words in that specific sentence is determined, and the ... Read More

To get the code point of every word in a sentence, it is first checked to see if sentence is the start of the word or not. Then, it is checked to see if index of character starts from specific index of word in the flattened list of characters from ... Read More

Segmentation refers to the act of splitting text into word-like units. This is used in cases where space characters are utilized in order to separate words, but some languages like Chinese and Japanese don’t use spaces. Some languages such as German contain long compounds that need to be split in ... Read More

Every Unicode code point belongs to a single collection of codepoints which is known as a script. A character's script determines the language to which the character would belong. TensorFlow comes with ‘strings.unicode_script’ method that helps find which script would be used by a given codepoint. The script codes are ... Read More

Unicode string can be split, and byte offset can be specified using the ‘unicode_split’ method and the ‘unicode_decode_with_offsets’methods respectively. These methods are present in the ‘string’ class of ‘tensorflow’ module.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?To begin, represent Unicode strings using Python, ... Read More

Character substrings can be used with Tensorflow using the ‘substr’ method which is present in ‘strings’ module of Tensorflow. It is then converted into a Numpy array and then displayed.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?We will see how to represent Unicode ... Read More