Deep Learning with Python and Keras: Build a Model for Sentiment Analysis
Deep Learning with Python and Keras: Build a Model for Sentiment Analysis
Released: 10/2025
Duration: 1h 51m 54s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 241.54 MB
Genre: eLearning | Language: English
Released: 10/2025
Duration: 1h 51m 54s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 241.54 MB
Genre: eLearning | Language: English
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.
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