Found 10476 Articles for Python

How can Tensorflow be used to split the flower dataset into training and validation?

AmitDiwan
Updated on 20-Feb-2021 07:18:14

431 Views

The flower dataset can be split into training and validation set, using the keras preprocessing API, with the help of the ‘image_dataset_from_directory’ which asks for the percentage split for the validation set.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?An image classifier is created using a keras.Sequential model, and data is loaded using preprocessing.image_dataset_from_directory. Data is efficiently loaded off disk. Overfitting is identified and techniques are applied to mitigate it. These techniques include data augmentation, and dropout. There are images of 3700 flowers. This dataset contaisn 5 sub directories, and there is one sub ... Read More

How can Tensorflow be used to explore the flower dataset using keras sequential API?

AmitDiwan
Updated on 20-Feb-2021 07:16:52

138 Views

The flower dataset can be explored using the keras sequential API with the help of the ‘PIL’ package and the ‘Image.open’ method. Different subdirectories have different types of images of flowers, which can be indexed and displayed on the console.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.An image classifier is created using a keras.Sequential model, and ... Read More

How can Tensorflow be used to download the flower dataset using keras sequential API?

AmitDiwan
Updated on 20-Feb-2021 07:15:30

348 Views

The flower dataset can be downloaded using the keras sequential API with the help of google API that stores the dataset. The ‘get_file’ method is used with the API (URL) to fetch the dataset, and store it in memory.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?A neural network that contains at least one layer is known as a convolutional layer. Convolutional neural networks have been used to produce great results for a specific kind of problems, such as image recognition.  An image classifier is created using a keras.Sequential model, and data is loaded ... Read More

How can Tensorflow be used to evaluate a CNN model using Python?

AmitDiwan
Updated on 20-Feb-2021 07:12:13

3K+ Views

A convolutional neural network can be evaluated using the ‘evaluate’ method. This method takes the test data as its parameters. Before this, the data is plotted on the console using ‘matplotlib’ library and ‘imshow’ methods.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 as image recognition.  We are using the Google Colaboratory to run the below code. Google Colab or Colaboratory helps run Python code over the browser and requires zero configuration and free access to GPUs (Graphical ... Read More

How can Tensorflow be used to train and compile a CNN model?

AmitDiwan
Updated on 20-Feb-2021 07:10:32

396 Views

A convolutional neural network can be trained and compiled using the ‘train’ method and the ‘fit’ method respectively. The ‘epoch’ value is provided in the ‘fit’ 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. Convolutional neural networks have been used to produce ... Read More

How can Tensorflow be used to add dense layers on top using Python?

AmitDiwan
Updated on 20-Feb-2021 07:08:34

861 Views

A dense layer can be added to the sequential model using the ‘add’ method, and specifying the type of layer as ‘Dense’. The layers are first flattened, and then a layer is added. This new layer will be applied to the entire training dataset.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.We are using the Google Colaboratory ... Read More

How can Tensorflow be used to create a convolutional base using Python?

AmitDiwan
Updated on 20-Feb-2021 07:04:39

174 Views

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 as image recognition. It can be created using the ‘Sequential’ method which is present in the ‘models’ class. Layers can be added to this convolutional network using the ‘add’ method.We will use the Keras Sequential API, which is helpful in building a sequential model that is used to work with ... Read More

How can Tensorflow and Python be used to verify the CIFAR dataset?

AmitDiwan
Updated on 20-Feb-2021 07:02:36

137 Views

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 with TensorFlow to create Neural Networks?We are using the Google Colaboratory to run the below code. Google Colab or Colaboratory helps run Python code over the browser and requires zero configuration and free access to GPUs (Graphical Processing Units). Colaboratory has been built on top of Jupyter Notebook.print("Verifying the data") ... Read More

How can Tensorflow and Python be used to download and prepare the CIFAR dataset?

AmitDiwan
Updated on 20-Feb-2021 07:00:32

201 Views

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 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 aconvolutional layer. A convolutional neural network would ... Read More

How can Tensorflow used to segment word code point of ragged tensor back to sentences?

AmitDiwan
Updated on 20-Feb-2021 06:56:59

125 Views

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 spaces. Some languages such as German contain long compounds that need to be split in order to analyse their meaning.The word’s code point is segmented back to sentence. The next step is to check if the code point for a character in a word is present in the sentence or ... Read More

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