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

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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 Model For Sentiment Analysis

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File Name

Size

Get Bonus Downloads Here.url

181B

~Get Your Files Here !/01 - Introduction/01 - An overview of sentiment analysis.mp4

7.23MB

~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

~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

~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

~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

~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

~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

~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

~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

~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

~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

~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

~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

~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

~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

~Get Your Files Here !/04 - 3. Chapter Name/04 - Configuring the dense neural network (DNN).srt

9.25KB

~Get Your Files Here !/04 - 3. Chapter Name/05 - Training and evaluating the DNN.mp4

6.57MB

~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

5.08MB

~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

~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

~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

~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

~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

~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

~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

~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

~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

~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

~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

~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

1.81MB

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