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Tensorflow Articles
Page 8 of 15
How 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 ...
Read MoreHow Tensorflow be used for the gender column, like feature column helping in prediction?
The ‘gender’ column will be used in the prediction as well, hence it is important to understand more about it. This can be done by visualizing the ‘age’ column as a horizontal bar plot.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 ...
Read MoreHow can Tensorflow be used with Estimators to display metadata about the dataset?
Metadata about the dataset can be displayed using the ‘describe’ method, as well as by visualizing the dataset, with specific statistic. The ‘hist’ method can be used to visualize a histogram with respect to a specific 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 visualize the data, and the ROC curve?
The titanic dataset model can be visualized and the ROC curve can be visualized to understand the performance with the help of the ‘matplotlib’ and ‘roc_curve’ (which is present in the ‘sklearn.metrics’ module) methods 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 as a convolutional layer. ...
Read MoreHow can Tensorflow be used with Estimators to optimize the model?
The model associated with titanic dataset can be optimized to give better performance after the specific columns are added. Once the columns are added, and trained, and the model is evaluated, the model will be trivially optimized, thereby giving better performance.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 ...
Read MoreHow can Tensorflow be used with Estimators to add a column to the titanic dataset?
A column can be added to the titanic dataset using Tensorflow by using the ‘crossed_column’ method which is present in the ‘feature_column’ class of ‘Tensorflow’ module. The model can be trained again using the ‘train’ 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 ...
Read MoreHow can Tensorflow be used with Estimators to perform data transformation?
Data transformation can be performed on the titanic dataset with the help of the ‘DenseFeatures’ method. The columns that need to be transformed, are converted into a Numpy array.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 MoreHow can Tensorflow be used with Estimators to inspect a specific column of titanic dataset?
A specific column in the titanic dataset can be inspected by accessing the column-to-be-inspected and using the ‘DenseFeatures’ and converting it into a Numpy array.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 can Tensorflow be used with Estimators to inspect the titanic dataset using Python?
The titanic dataset can be inspected using Tensorflow and estimators, by iterating through the features and converting the features into a list, and displaying it 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 convolutional layer. We can use the Convolutional Neural Network ...
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