TensorFlow: Sentiment Analysis with Recurrent Neural Networks
TensorFlow
12 Videos | 1h 2m 33s - Includes Assessment
- Earns a Badge
Discover how to construct neural networks for sentiment analysis. How to generate word embeddings on training data and use pre-trained word vectors for sentiment analysis is also covered.
WHAT YOU WILL LEARN
-
install TensorFlow and work with Jupyter notebooks
demonstrate how to load and explore training data
identify how to pre-process data to feed into the neural network
create unique identifiers to represent individual words in the vocabulary
create a neural network for sentiment analysis
describe how to train the neural network for prediction -
identify how to pre-process data to feed into the neural network with pre-trained word vectors
create a lookup table to map words to unique identifiers
specify training data sentences in the form of word identifiers
perform sentiment analysis using GloVe embeddings
recall how RNNs can be used for sentiment analysis
IN THIS COURSE
-
1.Course Overview1m 27sUP NEXT
-
2.Configuring the TensorFlow Environment2m 9s
-
3.Training Data3m 36s
-
4.Data Pre-Processing6m 12s
-
5.Unique Identifiers to Represent Words6m 27s
-
6.Construct a Recurrent Neural Network8m 51s
-
7.Training the Neural Network6m 26s
-
8.Data Pre-Processing to Use Pre-Trained Word Vectors2m 22s
-
9.Lookup Table to Map Unique Identifiers5m 40s
-
10.Sentences Using Word Identifiers4m 54s
-
11.Sentiment Analysis Using Pre-Trained Vectors6m 44s
-
12.Exercise: Performing Sentiment Analysis2m 45s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform
Digital badges are yours to keep, forever.
