[ CourseWikia.Com ] Deep Learning With Python And Keras - Build A Model For Sentiment Analysis

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[ CourseWikia.com ] Deep Learning with Python and Keras - Build a Model For Sentiment Analysis

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[ CourseWikia.com ] Deep Learning with Python and Keras - Build a Model For Sentiment Analysis.torrent
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c52b22bae9420e72918ea83c78d3cc68fdfa2ec7
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210 MB in 59 files
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Uploaded on 29-02-2024 by our crawler pet called "Spidey".
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[ CourseWikia.com ] Deep Learning with Python and Keras: Build a Model For Sentiment Analysis



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Released 2/2024

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 1h 55m | Size: 207 MB



Learn 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 a RNN to do 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). Plus, learn how to train RNNs and LSTNs.





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Files in this torrent

FILENAMESIZE
~Get Your Files Here !/01 - Introduction/01 - An overview of sentiment analysis.mp47.2 MB
~Get Your Files Here !/01 - Introduction/01 - An overview of sentiment analysis.srt8.6 KB
~Get Your Files Here !/01 - Introduction/02 - Prerequisites.mp41.4 MB
~Get Your Files Here !/01 - Introduction/02 - Prerequisites.srt1.8 KB
~Get Your Files Here !/02 - 1. Chapter Name/01 - Preprocessing text for sentiment analysis.mp43.8 MB
~Get Your Files Here !/02 - 1. Chapter Name/01 - Preprocessing text for sentiment analysis.srt5.1 KB
~Get Your Files Here !/02 - 1. Chapter Name/02 - Word vector encodings and word embeddings.mp49 MB
~Get Your Files Here !/02 - 1. Chapter Name/02 - Word vector encodings and word embeddings.srt10.8 KB
~Get Your Files Here !/02 - 1. Chapter Name/03 - Types of sentiment analysis.mp45.4 MB
~Get Your Files Here !/02 - 1. Chapter Name/03 - Types of sentiment analysis.srt6.4 KB
~Get Your Files Here !/02 - 1. Chapter Name/04 - Approaches and challenges in sentiment analysis.mp48.6 MB
~Get Your Files Here !/02 - 1. Chapter Name/04 - Approaches and challenges in sentiment analysis.srt10.8 KB
~Get Your Files Here !/03 - 2. Chapter Name/01 - Getting set up with Google Colab.mp46.4 MB
~Get Your Files Here !/03 - 2. Chapter Name/01 - Getting set up with Google Colab.srt6.6 KB
~Get Your Files Here !/03 - 2. Chapter Name/02 - Importing Python modules and loading data.mp47.4 MB
~Get Your Files Here !/03 - 2. Chapter Name/02 - Importing Python modules and loading data.srt7.2 KB
~Get Your Files Here !/03 - 2. Chapter Name/03 - Analyzing word lengths across sentiment categories.mp47.3 MB
~Get Your Files Here !/03 - 2. Chapter Name/03 - Analyzing word lengths across sentiment categories.srt7.6 KB
~Get Your Files Here !/03 - 2. Chapter Name/04 - Cleaning and preprocessing text.mp412.9 MB
~Get Your Files Here !/03 - 2. Chapter Name/04 - Cleaning and preprocessing text.srt10.6 KB
~Get Your Files Here !/03 - 2. Chapter Name/05 - Visualizing text using word clouds.mp44.8 MB
~Get Your Files Here !/03 - 2. Chapter Name/05 - Visualizing text using word clouds.srt3 KB
~Get Your Files Here !/04 - 3. Chapter Name/01 - Feed-forward neural networks.mp47.4 MB
~Get Your Files Here !/04 - 3. Chapter Name/01 - Feed-forward neural networks.srt8 KB
~Get Your Files Here !/04 - 3. Chapter Name/02 - Splitting data into training test and validation sets.mp47 MB
~Get Your Files Here !/04 - 3. Chapter Name/02 - Splitting data into training test and validation sets.srt6.8 KB
~Get Your Files Here !/04 - 3. Chapter Name/03 - Representing text using count vectorization.mp414.2 MB
~Get Your Files Here !/04 - 3. Chapter Name/03 - Representing text using count vectorization.srt13.4 KB
~Get Your Files Here !/04 - 3. Chapter Name/04 - Configuring the dense neural network (DNN).mp48.9 MB
~Get Your Files Here !/04 - 3. Chapter Name/04 - Configuring the dense neural network (DNN).srt9.2 KB
~Get Your Files Here !/04 - 3. Chapter Name/05 - Training and evaluating the DNN.mp46.6 MB
~Get Your Files Here !/04 - 3. Chapter Name/05 - Training and evaluating the DNN.srt5.5 KB
~Get Your Files Here !/04 - 3. Chapter Name/06 - Configuring the count vectorizer as a model layer.mp45.1 MB
~Get Your Files Here !/04 - 3. Chapter Name/06 - Configuring the count vectorizer as a model layer.srt4.5 KB
~Get Your Files Here !/04 - 3. Chapter Name/07 - Representing text using TFIDF vectorization.mp49.1 MB
~Get Your Files Here !/04 - 3. Chapter Name/07 - Representing text using TFIDF vectorization.srt8.4 KB
~Get Your Files Here !/04 - 3. Chapter Name/08 - Training and evaluating the model.mp47.6 MB
~Get Your Files Here !/04 - 3. Chapter Name/08 - Training and evaluating the model.srt5.5 KB
~Get Your Files Here !/04 - 3. Chapter Name/09 - Representing text using integer sequences.mp45.2 MB
~Get Your Files Here !/04 - 3. Chapter Name/09 - Representing text using integer sequences.srt5.1 KB
~Get Your Files Here !/04 - 3. Chapter Name/10 - Training ADNN using embeddings.mp414.7 MB
~Get Your Files Here !/04 - 3. Chapter Name/10 - Training ADNN using embeddings.srt12.4 KB
~Get Your Files Here !/05 - 4. Chapter Name/01 - Recurrent neural networks.mp46.2 MB
~Get Your Files Here !/05 - 4. Chapter Name/01 - Recurrent neural networks.srt6.9 KB
~Get Your Files Here !/05 - 4. Chapter Name/02 - Long memory cells.mp48.5 MB
~Get Your Files Here !/05 - 4. Chapter Name/02 - Long memory cells.srt9 KB
~Get Your Files Here !/05 - 4. Chapter Name/03 - The LSTM and GRU cells.mp45.5 MB
~Get Your Files Here !/05 - 4. Chapter Name/03 - The LSTM and GRU cells.srt6.4 KB
~Get Your Files Here !/05 - 4. Chapter Name/04 - Training a recurrent neural network.mp47.8 MB
~Get Your Files Here !/05 - 4. Chapter Name/04 - Training a recurrent neural network.srt6.2 KB
~Get Your Files Here !/05 - 4. Chapter Name/05 - Training an LSTM network.mp47 MB
~Get Your Files Here !/05 - 4. Chapter Name/05 - Training an LSTM network.srt5.2 KB
~Get Your Files Here !/05 - 4. Chapter Name/06 - Serializing a model to disk and loading the model.mp46.5 MB
~Get Your Files Here !/05 - 4. Chapter Name/06 - Serializing a model to disk and loading the model.srt6.2 KB
~Get Your Files Here !/06 - Conclusion/01 - Summary and next steps.mp42.8 MB
~Get Your Files Here !/06 - Conclusion/01 - Summary and next steps.srt3.7 KB
~Get Your Files Here !/Bonus Resources.txt386 B
~Get Your Files Here !/Ex_Files_Deep_Learning_Python_Keras/Exercise Files/final_code/dataset/Tweets.csv3.3 MB
~Get Your Files Here !/Ex_Files_Deep_Learning_Python_Keras/Exercise Files/final_code/demo_01_SentimentAnalysisUsingNeuralNetworksWithKeras.ipynb1.8 MB

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