Deep Learning With Python and Keras: Build a Model for Sentiment AnalysisDeep Learning With Python and Keras: Build a Model for Sentiment Analysis

Learn how to easily build, train, and validate deep neural networks and recurrent neural networks to perform sentiment analysis using Python and Keras.
Learn how to apply sentiment analysis to your problems through a practical, real-world use case. In this course, certified Google cloud architect and data engineer Janani Ravi guides you through the process of building and training neural networks to perform sentiment analysis, including validating your results. Go over how to preprocess text for sentiment analysis, as well as approaches you can use and challenges you may encounter. Get set up with Google Colab and import Python modules and loading data, then learn how to analyze word lengths, clean and preprocess text, and visualize text with word clouds. Explore feed-forward neural networks, then dive into configuring, training, and evaluating your dense neural network (DNN). By the end of this course, you'll also be prepared to train long short-term memory (LSTM) networks. This course was created by Loonycorn. We are pleased to host this content in our library.