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Deep Learning for Natural Language Processing: Creating Neural Networks with Python
book

Deep Learning for Natural Language Processing: Creating Neural Networks with Python

by Palash Goyal, Sumit Pandey, Karan Jain
June 2018
Beginner to intermediate
290 pages
5h 18m
English
Apress
Content preview from Deep Learning for Natural Language Processing: Creating Neural Networks with Python

Index

A

Activation potential
Annotated corpus
add padding
check versions
create checkpoints
create input
create train and validation datasets
dropout
DRUG-AE.rel file
embedding file
import modules
Keras modules
LSTM network
performance
text file
time distributed layers
validation dataset
Artificial neural network (ANN)
backpropagation mechanism
Attention scoring network

B

Backpropagation algorithm
Backpropagation through time (BPTT)
Bag-of-word models
Bidirectional encoders
Binary sequence summation
Blood transfusion dataset

C

Chatbots
building
definition
Facebook
SeeFacebook, chatbot
higher level
insurance dataset
SeeInsurance QnA dataset
origin of
platforms
working
Continuous bag-of-words (CBOW) model
AdaGrad optimizer
architecture
cbow_batch_creation() function
cosine
TensorFlow graph ...
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Publisher Resources

ISBN: 9781484236857Purchase LinkPublisher Website