January 2021
Intermediate to advanced
279 pages
4h 18m
English
book
TensorFlow 2.x in the Colaboratory Cloud: An Introduction to Deep Learning on Google’s Cloud Service
by David Paper
Content preview from TensorFlow 2.x in the Colaboratory Cloud: An Introduction to Deep Learning on Google’s Cloud ServiceBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.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.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.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.
Index
A
Abalone dataset
batch displays
categorical vocabulary columns
Colab/Google Drive
dataset
display records
feature variables
general site
imbalanced dataset
irregular dataset
measurements
one-hot encoding
pandas dataframe
scale feature
session/generates
sex/scaled continuous values
split data
target sets
TensorFlow consumption
Abnormal end (AbEnd)
Activation function
Artificial neurons
B
Boston housing dataset
dataframe
datatypes
describe method
early stopping
features
get dataset
compile/train model
feature/target sets
input pipeline
noise
predictions
raw dataset
test data
visualization
labels/values method
model creation
model.summary()
remove bad data
scale train/test sets
scikit-learn
Boston data
input pipeline
model data
remove noise
steps
target set
tensor
training data
train/test sets ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.