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    Torrent Details For "[UDACITY] NLP Foundations Nanodegree - [FCO] GloDLS"

    [UDACITY] NLP Foundations Nanodegree - [FCO] GloDLS

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    Name:[UDACITY] NLP Foundations Nanodegree - [FCO] GloDLS
    Description:


    Files Included: [200 WebRips (MP4) + Project Files (PDF, TXT, JPG, PY)]
    Torrent Conatins: 1,199 Files, 70 Folders
    Course Source: https://eu.udacity.com/course/natural-language-processing-nanodegree--nd892

    About:

    Master the skills to get computers to understand, process, and manipulate human language. Build models on real data, and get hands-on experience with sentiment analysis, machine translation, and more.

    Content:

    Part 01 : Introduction to Natural Language Processing
    Module 01: Intro to NLP
    Lesson 01: Intro to Natural Language Processing
    Find out how Natural Language Processing is being used in the industry, why it is challenging, and learn to design an NLP solution using IBM Watson's cloud-based services.

    Lesson 02: Bookworm
    Learn how to build a simple question-answering agent using IBM Watson.

    Part 02 : Introduction to Deep Learning
    Module 01: Intro to Deep Learning
    Lesson 01: Deep Neural Networks
    Luis will give you solid foundations on Deep Learning, and teach you how to apply Neural Networks to analyze real data!

    Module 02: Convolutional Neural Networks
    Lesson 01: Convolutional Neural Networks
    Module 03: TensorFlow
    Lesson 01: Intro to TensorFlow
    In this section you'll get a hands-on introduction to deep learning and Tensorflow, Google's deep learning framework, and you'll be able to apply it on an image dataset.

    Module 04: Intro to Recurrent Networks
    Lesson 01: Recurrent Neural Networks
    Jeremy explains Recurrent Neural Networks, and their cutting edge applications to text-based sequence generation

    Lesson 02: Long Short-Term Memory Networks (LSTM)
    Luis explains Long Short-Term Memory Networks (LSTM), and similar architectures which have the benefits of preserving long term memory.

    Lesson 03: Implementing RNNs and LSTMs
    In this lesson, Mat will review the concepts of RNNs and LSTMs, and then you'll see how a character-wise recurrent network is implemented in TensorFlow.

    Lesson 04: Hyperparameters
    In this section, Jay will teach you about some important hyperparameters used for our deep learning work, including those used for Recurrent Neural Networks.

    Lesson 05: Sentiment Prediction with RNN
    In this lesson you'll implement a sentiment prediction RNN

    Part 03 : NLP Fundamentals
    Module 01: NLP Fundamentals
    Lesson 01: Natural Language Processing
    An overview of how to build an end-to-end Natural Language Processing pipeline.

    Lesson 02: Text Processing
    Learn to prepare text obtained from different sources for further processing, by cleaning, normalizing and splitting it into individual words or tokens.

    Part 04 : Feature Extraction
    Module 01: Feature Extraction
    Lesson 01: Feature Extraction
    Transform text using methods like Bag-of-Words, TF-IDF, Word2Vec and GloVe to extract features that you can use in machine learning models.

    Part 05 : Modeling
    Module 01: Modeling in NLP
    Lesson 01: Modeling
    A selection of different NLP tasks and how to build models that accomplish them.

    Module 02: Project: Machine Translation
    Lesson 01: Machine Translation
    Apply the skills you've learnt in Natural Language Processing to the challenging and extremely rewarding task of Machine Translation. Bonne chance!

    Project Description - Machine Translation

    Project Rubric - Machine Translation

    Part 06 (Elective): NLP Supplementary
    Module 01: NLP: Supplementary
    Lesson 01: Embeddings and Word2Vec
    In this lesson, you'll learn about embeddings in neural networks by implementing the word2vec model.

    Lesson 02: Sequence to Sequence
    Here you'll learn about a specific architecture of RNNs for generating one sequence from another sequence. These RNNs are useful for chatbots, machine translation, and more!




    YouTube Video:
    Category:Tutorials
    Language:English  English
    Total Size:1.05 GB
    Info Hash:56ED6A82B8981AD46A7C5C58E8893F61012284EF
    Added By:Prom3th3uS Super AdministratorMovie PirateVIP
    Date Added:2018-11-22 20:37:32
    Torrent Status:Torrent Verified


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