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Python Articles
Page 610 of 852
How can Tensorflow be used to decode the predictions using Python?
Tensorflow can be used to decode the predictions by converting the image to a Numpy array.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. We can use the Convolutional Neural Network to build learning model. 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.The intuition behind transfer ...
Read MoreHow can Tensorflow be used to add a batch dimension and pass the image to the model using Python?
Tensorflow can be used to add a batch dimension and pass the image to the model by converting the image to a Numpy array.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. We can use the Convolutional Neural Network to build learning model. 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 ...
Read MoreHow can Tensorflow be used to download a single image to try the model on using Python?
Tensorflow can be used to download a single image to try the model using the ‘get_file’ method. A google API holds the single image, 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?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. We are using the Google Colaboratory to run the below code. Google Colab or Colaboratory helps run Python code over ...
Read MoreHow can Tensorflow and pre-trained model be used for evaluation and prediction of data using Python?
Tensorflow and the pre-trained model can be used for evaluation and prediction of data using the ‘evaluate’ and ‘predict’ methods. The batch of input images is first flattened. The sigmoid function is applied on the model so that it would return logit values.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. We can use the Convolutional Neural Network to build learning model. We will understand how to classify images of cats and dogs with the help of transfer learning from a ...
Read MoreHow can Tensorflow and pre-trained model be used to visualize the data using Python?
Tensorflow and the pre-trained model can be used to visualize the data using the ‘matplotlib’ library. The ‘plot’ method is used to plot the data on the console.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. We can use the Convolutional Neural Network to build learning model. 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 ...
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 ...
Read MoreWrite a program in Python to verify camel case string from the user, split camel cases, and store them in a new series
The result for splitting camel case strings into series as, enter the sring: pandasSeriesDataFrame Series is: 0 pandas 1 Series 2 Data 3 Frame dtype: objectTo solve this, we will follow the steps given below −SolutionDefine a function that accepts the input stringSet result variable with the condition as input is not lowercase and uppercase and no ’_’ in input string. It is defined below, result = (s != s.lower() and s != s.upper() and "_" not in s)Set if condition to check if the result is true the apply re.findall method to find camel case ...
Read MoreWrite a Python code to combine two given series and convert it to a dataframe
Assume, you have two series and the result for combining two series into dataframe as, Id Age 0 1 12 1 2 13 2 3 12 3 4 14 4 5 15To solve this, we can have three different approaches.Solution 1Define two series as series1 and series2Assign first series into dataframe. Store it as dfdf = pd.DataFrame(series1)Create a column df[‘Age’] in dataframe and assign second series inside to df.df['Age'] = pd.DataFrame(series2)ExampleLet’s check the following code to get a better understanding −import pandas as pd series1 = pd.Series([1, 2, 3, 4, 5], name='Id') series2 = pd.Series([12, 13, 12, 14, 15], name='Age') ...
Read MoreWrite a program in Python to split the date column into day, month, year in multiple columns of a given dataframe
Assume, you have a dataframe and the result for a date, month, year column is, date day month year 0 17/05/2002 17 05 2002 1 16/02/1990 16 02 1990 2 25/09/1980 25 09 1980 3 11/05/2000 11 05 2000 4 17/09/1986 17 09 1986To solve this, we will follow the steps given below −SolutionCreate a list of dates and assign into dataframe.Apply str.split function inside ‘/’ delimiter to df[‘date’] column. Assign the result to df[[“day”, “month”, “year”]].ExampleLet’s check the following code to get a better understanding −import ...
Read MoreWrite a Python code to convert a given series into a dummy variable and drop any NaN values if they exist
Assume, you have a series and the result for converting to dummy variable as, Female Male 0 0 1 1 1 0 2 0 1 3 1 0 4 0 1 5 0 0 6 1 0 7 1 0To solve this, we will follow the steps given below −SolutionCreate a list with ‘Male’ and ‘Female’ elements and assign into Series.Apply get_dummies function inside series and set dummy_na value as False. It is defined below, pd.get_dummies(series, dummy_na=False)ExampleLet’s check the following code to get ...
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