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181B
~Get Your Files Here !/01 - Introduction/01 - An overview of sentiment analysis.mp4
7.23MB
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~Get Your Files Here !/01 - Introduction/01 - An overview of sentiment analysis.srt
8.57KB
~Get Your Files Here !/01 - Introduction/02 - Prerequisites.mp4
1.36MB
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~Get Your Files Here !/01 - Introduction/02 - Prerequisites.srt
1.85KB
~Get Your Files Here !/02 - 1. Chapter Name/01 - Preprocessing text for sentiment analysis.mp4
3.83MB
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~Get Your Files Here !/02 - 1. Chapter Name/01 - Preprocessing text for sentiment analysis.srt
5.09KB
~Get Your Files Here !/02 - 1. Chapter Name/02 - Word vector encodings and word embeddings.mp4
8.99MB
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~Get Your Files Here !/02 - 1. Chapter Name/02 - Word vector encodings and word embeddings.srt
10.82KB
~Get Your Files Here !/02 - 1. Chapter Name/03 - Types of sentiment analysis.mp4
5.44MB
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~Get Your Files Here !/02 - 1. Chapter Name/03 - Types of sentiment analysis.srt
6.36KB
~Get Your Files Here !/02 - 1. Chapter Name/04 - Approaches and challenges in sentiment analysis.mp4
8.56MB
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~Get Your Files Here !/02 - 1. Chapter Name/04 - Approaches and challenges in sentiment analysis.srt
10.79KB
~Get Your Files Here !/03 - 2. Chapter Name/01 - Getting set up with Google Colab.mp4
6.41MB
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~Get Your Files Here !/03 - 2. Chapter Name/01 - Getting set up with Google Colab.srt
6.63KB
~Get Your Files Here !/03 - 2. Chapter Name/02 - Importing Python modules and loading data.mp4
7.44MB
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~Get Your Files Here !/03 - 2. Chapter Name/02 - Importing Python modules and loading data.srt
7.2KB
~Get Your Files Here !/03 - 2. Chapter Name/03 - Analyzing word lengths across sentiment categories.mp4
7.28MB
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~Get Your Files Here !/03 - 2. Chapter Name/03 - Analyzing word lengths across sentiment categories.srt
7.64KB
~Get Your Files Here !/03 - 2. Chapter Name/04 - Cleaning and preprocessing text.mp4
12.85MB
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~Get Your Files Here !/03 - 2. Chapter Name/04 - Cleaning and preprocessing text.srt
10.62KB
~Get Your Files Here !/03 - 2. Chapter Name/05 - Visualizing text using word clouds.mp4
4.81MB
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~Get Your Files Here !/03 - 2. Chapter Name/05 - Visualizing text using word clouds.srt
2.97KB
~Get Your Files Here !/04 - 3. Chapter Name/01 - Feed-forward neural networks.mp4
7.38MB
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~Get Your Files Here !/04 - 3. Chapter Name/01 - Feed-forward neural networks.srt
7.95KB
~Get Your Files Here !/04 - 3. Chapter Name/02 - Splitting data into training test and validation sets.mp4
6.96MB
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~Get Your Files Here !/04 - 3. Chapter Name/02 - Splitting data into training test and validation sets.srt
6.77KB
~Get Your Files Here !/04 - 3. Chapter Name/03 - Representing text using count vectorization.mp4
14.17MB
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~Get Your Files Here !/04 - 3. Chapter Name/03 - Representing text using count vectorization.srt
13.42KB
~Get Your Files Here !/04 - 3. Chapter Name/04 - Configuring the dense neural network (DNN).mp4
8.95MB
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~Get Your Files Here !/04 - 3. Chapter Name/04 - Configuring the dense neural network (DNN).srt
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~Get Your Files Here !/04 - 3. Chapter Name/05 - Training and evaluating the DNN.mp4
6.57MB
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~Get Your Files Here !/04 - 3. Chapter Name/05 - Training and evaluating the DNN.srt
5.5KB
~Get Your Files Here !/04 - 3. Chapter Name/06 - Configuring the count vectorizer as a model layer.mp4
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~Get Your Files Here !/04 - 3. Chapter Name/06 - Configuring the count vectorizer as a model layer.srt
4.49KB
~Get Your Files Here !/04 - 3. Chapter Name/07 - Representing text using TFIDF vectorization.mp4
9.06MB
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~Get Your Files Here !/04 - 3. Chapter Name/07 - Representing text using TFIDF vectorization.srt
8.43KB
~Get Your Files Here !/04 - 3. Chapter Name/08 - Training and evaluating the model.mp4
7.62MB
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~Get Your Files Here !/04 - 3. Chapter Name/08 - Training and evaluating the model.srt
5.48KB
~Get Your Files Here !/04 - 3. Chapter Name/09 - Representing text using integer sequences.mp4
5.16MB
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~Get Your Files Here !/04 - 3. Chapter Name/09 - Representing text using integer sequences.srt
5.06KB
~Get Your Files Here !/04 - 3. Chapter Name/10 - Training ADNN using embeddings.mp4
14.67MB
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~Get Your Files Here !/04 - 3. Chapter Name/10 - Training ADNN using embeddings.srt
12.38KB
~Get Your Files Here !/05 - 4. Chapter Name/01 - Recurrent neural networks.mp4
6.23MB
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~Get Your Files Here !/05 - 4. Chapter Name/01 - Recurrent neural networks.srt
6.92KB
~Get Your Files Here !/05 - 4. Chapter Name/02 - Long memory cells.mp4
8.52MB
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~Get Your Files Here !/05 - 4. Chapter Name/02 - Long memory cells.srt
8.96KB
~Get Your Files Here !/05 - 4. Chapter Name/03 - The LSTM and GRU cells.mp4
5.55MB
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~Get Your Files Here !/05 - 4. Chapter Name/03 - The LSTM and GRU cells.srt
6.37KB
~Get Your Files Here !/05 - 4. Chapter Name/04 - Training a recurrent neural network.mp4
7.76MB
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~Get Your Files Here !/05 - 4. Chapter Name/04 - Training a recurrent neural network.srt
6.21KB
~Get Your Files Here !/05 - 4. Chapter Name/05 - Training an LSTM network.mp4
7MB
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~Get Your Files Here !/05 - 4. Chapter Name/05 - Training an LSTM network.srt
5.23KB
~Get Your Files Here !/05 - 4. Chapter Name/06 - Serializing a model to disk and loading the model.mp4
6.48MB
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~Get Your Files Here !/05 - 4. Chapter Name/06 - Serializing a model to disk and loading the model.srt
6.19KB
~Get Your Files Here !/06 - Conclusion/01 - Summary and next steps.mp4
2.8MB
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~Get Your Files Here !/06 - Conclusion/01 - Summary and next steps.srt
3.66KB
~Get Your Files Here !/Bonus Resources.txt
386B
~Get Your Files Here !/Ex_Files_Deep_Learning_Python_Keras/Exercise Files/final_code/dataset/Tweets.csv
3.34MB
~Get Your Files Here !/Ex_Files_Deep_Learning_Python_Keras/Exercise Files/final_code/demo_01_SentimentAnalysisUsingNeuralNetworksWithKeras.ipynb
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