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Articles by AmitDiwan
Page 697 of 840
How can Tensorflow be used with a pre-trained network, i.e. transfer learning to load the data?
Tensorflow can be used with a pre-trained network, for transfer learning, to load the data by using the ‘get_file’ method present in Keras package. A google API holds the dataset, which can be passed as parameter to the ‘get_file’ method to download the dataset in the current environment.Read More: What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?We will understand how to classify images of cats and dogs with the help of transfer learning from a pre-trained network.The intuition behind transfer learning for image classification is, if a model is trained on a large and general ...
Read MoreHow can Tensorflow and Estimator be used to find the ROC curve on titanic dataset?
Tensorflow and Estimator can be used to find the ROC curve on titanic dataset with the help of ‘roc_curve’ that is present in the ‘sklearn.metrics’ package. The ‘plot’ method plots the data, and the ‘show’ method is used to display this plot 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.A neural network that contains ...
Read MoreHow can Tensorflow and Estimators be used to predict the output of the titanic dataset?
Tensorflow and Estimators can be used to predict the output of the titanic dataset using the previously created estimator ‘BoostedTreesClassifier’ and calling the ‘predict’ method on it.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 ...
Read MoreHow can Tensorflow and Estimator be used with Boosted trees to train and evaluate the model?
Tensorflow and Estimator can be used with Boosted trees to train and evaluate the model with the help of ‘BoostedTreesClassifier’. This estimator is used with the ‘train’ method and the ‘evaluate’ method to train and evaluate the dataset respectively.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 ...
Read MoreHow can Tensorflow and Estimator be used to define input function for training and evaluation of dataset?
Tensorflow and Estimator can be used to define input function for training and evaluation of dataset that generates a dictionary using the features, and labels. This is achieved using the ‘from_tensor_slices’ method. This function will also shuffle the data in the dataset, as well as define the number of training steps. In the end, this function returns the combined data about the dataset as output. This function is called by passing training dataset to it.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 ...
Read MoreHow can Tensorflow and Estimator be used to view all feature column transformations at once?
All the feature columns of the dataset can be viewed using Tensorflow and Estimator with the help of the ‘DenseFeatures’ method. This data is converted into Numpy array so that it can be viewed 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.A neural network that contains at least one layer is known as a ...
Read MoreHow can Tensorflow be used with Estimator to transform the feature column?
Tensorflow can be used with Estimator to transform the feature column by first converting the first row of the dataset into a dictionary, and then uses one-hot encoding to transform this feature column, i.e. the ‘gender’ column.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 MoreHow can Tensorflow be used with Estimators to create feature columns and input functions?
Tensorflow can be used with Estimators to create feature columns and input functions by using one-hot encoding method. The ‘feature_column.indicator_column’ is used to return the output of this one-hot encoding technique.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 ...
Read MoreHow can Tensorflow be used with Estimators to visualise the plot of number of males v/s females?
Tensorflow can be used with Estimators to visualise the plot of number of males versus females with the help of ‘matplotlib’ library and ‘show’ 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 ...
Read MoreHow Tensorflow be used to determine data about class to which every passenger in the titanic dataset belongs to?
Tensorflow can be used with Estimators to determine data about the class to which every passenger in the titanic dataset belongs to, with the help of the ‘value_counts’ method. This data is visualized as a horizontal bar graph.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 ...
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