epub |eng | 2019-02-28 | Author:James Loy; [Неизв.]

INPUT_SIZE = 128 # Change this to 48 if the code takes too long to run vgg16 = VGG16(include_top=False, weights='imagenet', input_shape=(INPUT_SIZE,INPUT_SIZE,3)) Note that we used include_top=False when we created a ...

epub |eng | 2019-06-27 | Author:Mohammad Abdur Razzaque, PhD

Exploratory analysis The exploratory analysis of data using the Python pandas library provides many powerful features–no doubt. However, using df.describe(), df.dtypes, or using df.isnull().sum() and plotting them separately is always ...

epub |eng | 2019-02-27 | Author:V Kishore Ayyadevara [V Kishore Ayyadevara]

epub |eng | | Author:Jannes Klaas

Max sequence length for inputs: 16 Max sequence length for outputs: 59 Now we prepare input and output data for our model. encoder_input_data is a 3D array of shape (num_pairs, ...

epub |eng | 2019-03-07 | Author:Marcus Du Sautoy

10 THE MATHEMATICIAN’S TELESCOPE Our writing tools participate in the writing of our thoughts. Friedrich Nietzsche For all my existential angst about the computer putting me out of the game, ...

epub |eng | 2018-08-24 | Author:Mark Hodnett

Figure 6.1: An example of a learning curve which plots accuracy by data size In this case, accuracy is in a very narrow range and stabilizes as the # instances ...

mobi |eng | 2017-08-16 | Author:Tom Hope, Yehezkel S. Resheff, and Itay Lieder

The target variable is the median value of owner-occupied homes in thousands of dollars. In this example we try to predict the target variable by using some linear combination of ...

epub |eng | 2017-08-16 | Author:Tom Hope, Yehezkel S. Resheff & Itay Lieder

model = learn.<some_Estimator>() Then we fit it using our training data: model.fit() We evaluate the model to see how well it does on some given dataset: model.evaluate() Finally, we use ...

epub |eng | 2019-03-28 | Author:Tony Holdroyd

import numpy as np import matplotlib.pyplot as plt %matplotlib inline Preprocessing the data Then, we load the data. For this application, we will use the fashion_mnist dataset, which was designed ...

epub, pdf |eng | 2019-01-31 | Author:Alexander Combs

What this script will do is run every 4 hours, pull down the news stories from Google Sheets, run the stories through the model, generate an email by sending a ...

epub, pdf |eng | 2018-11-04 | Author:Ankur A. Patel

TensorFlow Before we introduce autoencoders, let’s explore TensorFlow, the primary library we will use to build neural networks. TensorFlow is an open source software library for high-performance numerical computation and ...

epub, pdf |eng | | Author:Max Kuhn & Kjell Johnson

Observed class Successful Unsuccessful Successful 490 220 Unsuccessful 80 767 This model had an overall accuracy of 80.7 %, a sensitivity of 86 %, and a specificity of 77.7 %. ...