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| 01. Prove Your Skills With GitHub.html |
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| 01. Ready to Level Up with NLP.html |
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| 01. Text Processing.html |
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| 01. Udacity Support.html |
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| 01. Welcome to the Natural Language Processing Nanodegree.html |
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| 01. Welcome to Voice User Interfaces!.html |
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| 02. Bag of Words.html |
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| 02. Embeddings Intro.html |
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| 02. Getting Started.html |
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| 02. Getting Started.html |
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| 02. How NLP Pipelines Work.html |
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| 02. Installing TensorFlow.html |
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| 02. Introduction.html |
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| 02. Introduction to GPU Workspaces.html |
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| 02. Keras.html |
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| 02. Machine Translation.html |
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| 02. Materials.html |
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| 02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.en.vtt |
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| 02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.mp4 |
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| 02. NLP Overview.html |
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| 02. Part of Speech Tagging.html |
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| 02. Previous Material.html |
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| 02. References.html |
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| 02. RNN Introduction.html |
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| 02. Sentiment RNN.html |
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| 02. Sequence to Sequence Recap.html |
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| 02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.en.vtt |
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| 02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.mp4 |
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| 02. VUI Overview.html |
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| 02. Workspaces Best Practices.html |
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| 03. 02 RNN History V4 Final-HbxAnYUfRnc.en.vtt |
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| 03. Access Your Career Portal.html |
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| 03. Bag of Words.html |
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| 03. Bag Of Words-WILdZVzSAiE.en.vtt |
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| 03. Bag Of Words-WILdZVzSAiE.mp4 |
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| 03. Basics of LSTM.html |
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| 03. Data Preprocessing.html |
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| 03. Deciphering Code with character-level RNNs.html |
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| 03. Encoding -- Attention Overview.html |
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| 03. Get Access to GPU Instances.html |
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| 03. Hello, Tensor World!.html |
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| 03. Implementing Word2Vec.html |
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| 03. Introduction to GPU Workspaces.html |
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| 03. NLP Machine Translation Workspace.html |
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| 03. NLP Overview.html |
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| 03. Notebook Sentiment Analysis with a regular classifier.html |
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| 03. Pre-Lab Student Admissions in Keras.html |
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| 03. RNN History.html |
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| 03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.en.vtt |
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| 03. Tasks.html |
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| 03. Welcome to NLP-g-AlFF61p0I.en.vtt |
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| 03. Welcome to NLP-g-AlFF61p0I.zh-CN.vtt |
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| 03. Why Use an Elevator Pitch.html |
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| 03. Workspace Part of Speech Tagging.html |
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| 03. Workspaces Best Practices.html |
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| 04. [SOLUTION] Deciphering code with character-level RNNs.html |
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| 04. [SOLUTION] Sentiment Analysis with a regular clas.html |
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| 04. 03 RNN Applications V3 Final-6JbTNARuKII.en.vtt |
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| 04. 04 Attention Overview Decoding V2-DJxiPd585GY.en.vtt |
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| 04. Applications.html |
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| 04. Architecture of LSTM.html |
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| 04. Bigrams.html |
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| 04. Context Is Everything.html |
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| 04. Counting Words.html |
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| 04. Create Your Elevator Pitch.html |
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| 04. Decoding -- Attention Overview.html |
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| 04. Deploying Your Skill.html |
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| 04. Launch Your Instance.html |
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| 04. NLPND POS 03 Bigrams V1-pnZYAsyLb0Y.en.vtt |
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| 04. Project Machine Translation.html |
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| 04. Quiz TensorFlow Linear Function.html |
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| 04. References Signal Analysis.html |
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| 04. RNN Applications.html |
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| 04. Tasks.html |
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| 04. Workspace Bookworm.html |
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| 04. Workspaces Best Practices.html |
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| 04. Your Udacity Professional Profile.html |
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| 05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.en.vtt |
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| 05. Architecture encoder decoder-dkHdEAJnV_w.en.vtt |
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| 05. Architectures.html |
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| 05. Attention Overview.html |
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| 05. Bayes Theorem.html |
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| 05. Building the RNN.html |
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| 05. Congratulations!.html |
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| 05. Feature Extraction.html |
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| 05. Feedforward Neural Network-Reminder.html |
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| 05. Making Batches.html |
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| 05. Mini Project 1.html |
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| 05. Natural Language Processing-sQiURKPFXNM.mp4 |
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| 05. NLP and IBM Watson.html |
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| 05. Optimizers in Keras.html |
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| 05. Quiz FFT.html |
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| 05. Quiz TensorFlow Softmax.html |
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| 05. Remotely Connecting to Your Instance.html |
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| 05. Sentiment Analysis RNN GIF-GZWyEHOdZ0w.mp4 |
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| 05. Sentiment Analysis with RNN.html |
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| 05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.en.vtt |
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| 05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.mp4 |
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| 05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.zh-CN.vtt |
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| 05. The Learn Gate.html |
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| 05. Unstructured Text-OmwSdaec5vU.mp4 |
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| 05. Use Your Elevator Pitch on LinkedIn.html |
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| 05. VUI Speech Recognizer Workspace.html |
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| 05. When bigrams won't work.html |
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| 05. Workspace.html |
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| 06. 05 Attention Encoder V2-sphe9LDT4rA.en.vtt |
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| 06. 06 FeedForward A V7 Final-4rCfnWbx8-0.en.vtt |
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| 06. Architecture in More Depth-rdAo4MqLbEk.en.vtt |
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| 06. Architectures in More Depth.html |
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| 06. Attention Encoder.html |
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| 06. Batches Solution.html |
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| 06. Capturing Text Data.html |
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| 06. Challenges in ASR.html |
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| 06. Counting Words.html |
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| 06. Feature Extraction with MFCC.html |
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| 06. Forget Gate-iWxpfxLUPSU.en.vtt |
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| 06. Hidden Markov Models.html |
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| 06. Keras Lab-a50un22BsLI.en.vtt |
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| 06. Mini Project Intro.html |
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| 06. Modeling.html |
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| 06. NLPND POS 05 Hidden Markov Models V1-aQsYnmio9_E.en.vtt |
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| 06. Notebook Sentiment Analysis with an RNN.html |
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| 06. Quiz False Positives.html |
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| 06. Quiz TensorFlow Cross Entropy.html |
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| 06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.en.vtt |
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| 06. The Feedforward Process.html |
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| 06. The Forget Gate.html |
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| 07. [SOLUTION] Sentiment Analysis with an RNN.html |
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| 09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.en.vtt |
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| 11. Backpropagation Quiz.html |
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| 12. Outro LSTM.html |
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| 12. Quiz TensorFlow ReLUs.html |
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| 12. Up Next.html |
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| 12. Viterbi Algorithm Idea.html |
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| 13. RNN (part b).html |
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| 14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.en.vtt |
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| 14. Project.html |
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| 15. Spam Classifier - Workspace.html |
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| 17. Outro.html |
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| 18. [SOLUTION] Attention Basics.html |
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