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Python Deep Learning Projects
book

Python Deep Learning Projects

by Matthew Lamons, Rahul Kumar, Abhishek Nagaraja
October 2018
Intermediate to advanced
472 pages
10h 57m
English
Packt Publishing
Content preview from Python Deep Learning Projects

Importing all the dependencies

Make sure to restart the session before proceeding forward. 

We will be using numpy, pandas, keras, pylab, skimage, matplotlib, and pycocotools, as in the following code:

from __future__ import absolute_importfrom __future__ import print_functionimport pylabimport numpy as npimport pandas as pdimport skimage.io as ioimport matplotlib.pyplot as pltfrom pycocotools.coco import COCOpylab.rcParams['figure.figsize'] = (8.0, 10.0)import cv2import keras.models as models, Sequentialfrom keras.layers import Layer, Dense, Dropout, Activation, Flatten, Reshape, Permutefrom keras.layers import Conv2D, MaxPool2D, UpSampling2D, ZeroPadding2Dfrom keras.layers import BatchNormalizationfrom keras.callbacks import ModelCheckpoint, ...
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Publisher Resources

ISBN: 9781788997096