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

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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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[ CourseWikia.com ] Deep Learning with Python and Keras - Build a Model For Sentiment Analysis
~Get Your Files Here !/01 - Introduction/01 - An overview of sentiment analysis.mp4 7.2 MB
~Get Your Files Here !/01 - Introduction/01 - An overview of sentiment analysis.srt 8.6 KB
~Get Your Files Here !/01 - Introduction/02 - Prerequisites.mp4 1.4 MB
~Get Your Files Here !/01 - Introduction/02 - Prerequisites.srt 1.8 KB
~Get Your Files Here !/02 - 1. Chapter Name/01 - Preprocessing text for sentiment analysis.mp4 3.8 MB
~Get Your Files Here !/02 - 1. Chapter Name/01 - Preprocessing text for sentiment analysis.srt 5.1 KB
~Get Your Files Here !/02 - 1. Chapter Name/02 - Word vector encodings and word embeddings.mp4 9 MB
~Get Your Files Here !/02 - 1. Chapter Name/02 - Word vector encodings and word embeddings.srt 10.8 KB
~Get Your Files Here !/02 - 1. Chapter Name/03 - Types of sentiment analysis.mp4 5.4 MB
~Get Your Files Here !/02 - 1. Chapter Name/03 - Types of sentiment analysis.srt 6.4 KB
~Get Your Files Here !/02 - 1. Chapter Name/04 - Approaches and challenges in sentiment analysis.mp4 8.6 MB
~Get Your Files Here !/02 - 1. Chapter Name/04 - Approaches and challenges in sentiment analysis.srt 10.8 KB
~Get Your Files Here !/03 - 2. Chapter Name/01 - Getting set up with Google Colab.mp4 6.4 MB
~Get Your Files Here !/03 - 2. Chapter Name/01 - Getting set up with Google Colab.srt 6.6 KB
~Get Your Files Here !/03 - 2. Chapter Name/02 - Importing Python modules and loading data.mp4 7.4 MB
~Get Your Files Here !/03 - 2. Chapter Name/02 - Importing Python modules and loading data.srt 7.2 KB
~Get Your Files Here !/03 - 2. Chapter Name/03 - Analyzing word lengths across sentiment categories.mp4 7.3 MB
~Get Your Files Here !/03 - 2. Chapter Name/03 - Analyzing word lengths across sentiment categories.srt 7.6 KB
~Get Your Files Here !/03 - 2. Chapter Name/04 - Cleaning and preprocessing text.mp4 12.9 MB
~Get Your Files Here !/03 - 2. Chapter Name/04 - Cleaning and preprocessing text.srt 10.6 KB
~Get Your Files Here !/03 - 2. Chapter Name/05 - Visualizing text using word clouds.mp4 4.8 MB
~Get Your Files Here !/03 - 2. Chapter Name/05 - Visualizing text using word clouds.srt 3 KB
~Get Your Files Here !/04 - 3. Chapter Name/01 - Feed-forward neural networks.mp4 7.4 MB
~Get Your Files Here !/04 - 3. Chapter Name/01 - Feed-forward neural networks.srt 8 KB
~Get Your Files Here !/04 - 3. Chapter Name/02 - Splitting data into training test and validation sets.mp4 7 MB
~Get Your Files Here !/04 - 3. Chapter Name/02 - Splitting data into training test and validation sets.srt 6.8 KB
~Get Your Files Here !/04 - 3. Chapter Name/03 - Representing text using count vectorization.mp4 14.2 MB
~Get Your Files Here !/04 - 3. Chapter Name/03 - Representing text using count vectorization.srt 13.4 KB
~Get Your Files Here !/04 - 3. Chapter Name/04 - Configuring the dense neural network (DNN).mp4 8.9 MB
~Get Your Files Here !/04 - 3. Chapter Name/04 - Configuring the dense neural network (DNN).srt 9.2 KB
~Get Your Files Here !/04 - 3. Chapter Name/05 - Training and evaluating the DNN.mp4 6.6 MB
~Get Your Files Here !/04 - 3. Chapter Name/05 - Training and evaluating the DNN.srt 5.5 KB
~Get Your Files Here !/04 - 3. Chapter Name/06 - Configuring the count vectorizer as a model layer.mp4 5.1 MB
~Get Your Files Here !/04 - 3. Chapter Name/06 - Configuring the count vectorizer as a model layer.srt 4.5 KB
~Get Your Files Here !/04 - 3. Chapter Name/07 - Representing text using TFIDF vectorization.mp4 9.1 MB
~Get Your Files Here !/04 - 3. Chapter Name/07 - Representing text using TFIDF vectorization.srt 8.4 KB
~Get Your Files Here !/04 - 3. Chapter Name/08 - Training and evaluating the model.mp4 7.6 MB
~Get Your Files Here !/04 - 3. Chapter Name/08 - Training and evaluating the model.srt 5.5 KB
~Get Your Files Here !/04 - 3. Chapter Name/09 - Representing text using integer sequences.mp4 5.2 MB
~Get Your Files Here !/04 - 3. Chapter Name/09 - Representing text using integer sequences.srt 5.1 KB
~Get Your Files Here !/04 - 3. Chapter Name/10 - Training ADNN using embeddings.mp4 14.7 MB
~Get Your Files Here !/04 - 3. Chapter Name/10 - Training ADNN using embeddings.srt 12.4 KB
~Get Your Files Here !/05 - 4. Chapter Name/01 - Recurrent neural networks.mp4 6.2 MB
~Get Your Files Here !/05 - 4. Chapter Name/01 - Recurrent neural networks.srt 6.9 KB
~Get Your Files Here !/05 - 4. Chapter Name/02 - Long memory cells.mp4 8.5 MB
~Get Your Files Here !/05 - 4. Chapter Name/02 - Long memory cells.srt 9 KB
~Get Your Files Here !/05 - 4. Chapter Name/03 - The LSTM and GRU cells.mp4 5.5 MB
~Get Your Files Here !/05 - 4. Chapter Name/03 - The LSTM and GRU cells.srt 6.4 KB
~Get Your Files Here !/05 - 4. Chapter Name/04 - Training a recurrent neural network.mp4 7.8 MB
~Get Your Files Here !/05 - 4. Chapter Name/04 - Training a recurrent neural network.srt 6.2 KB
~Get Your Files Here !/05 - 4. Chapter Name/05 - Training an LSTM network.mp4 7 MB
~Get Your Files Here !/05 - 4. Chapter Name/05 - Training an LSTM network.srt 5.2 KB
~Get Your Files Here !/05 - 4. Chapter Name/06 - Serializing a model to disk and loading the model.mp4 6.5 MB
~Get Your Files Here !/05 - 4. Chapter Name/06 - Serializing a model to disk and loading the model.srt 6.2 KB
~Get Your Files Here !/06 - Conclusion/01 - Summary and next steps.mp4 2.8 MB
~Get Your Files Here !/06 - Conclusion/01 - Summary and next steps.srt 3.7 KB
~Get Your Files Here !/Bonus Resources.txt 386 B
~Get Your Files Here !/Ex_Files_Deep_Learning_Python_Keras/Exercise Files/final_code/dataset/Tweets.csv 3.3 MB
~Get Your Files Here !/Ex_Files_Deep_Learning_Python_Keras/Exercise Files/final_code/demo_01_SentimentAnalysisUsingNeuralNetworksWithKeras.ipynb 1.8 MB

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