March 2019
Intermediate to advanced
642 pages
22h 54m
English
Content preview from Python Machine Learning Cookbook - Second Edition
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How to do it...
Let's build an image recognition model by using transfer learning in Keras; in this section, we will explain the code step by step:
- Create a new Python file and import the following packages (the full code is in the ImageTransferLearning.py file that's already been provided for you):
from keras.layers import Dense,GlobalAveragePooling2Dfrom keras.applications import MobileNetfrom keras.applications.mobilenet import preprocess_inputfrom keras.preprocessing.image import ImageDataGeneratorfrom keras.models import Model
- Let's import the MobileNet model and discard the last 1,000 neuron layers:
BasicModel=MobileNet(input_shape=(224, 224, 3), weights='imagenet',include_top=False)
- Let's define the Keras model architecture:
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.