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Deep Learning - Conceptual Understanding and Applications

phanhoang17
November 08, 2017

Deep Learning - Conceptual Understanding and Applications

deep learning
machine learning

phanhoang17

November 08, 2017
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  1. - Basic Introduction to Deep Learning - CNN – Convolutional

    Neural Network - Some amazing applications using Deep Learning - The limitations of Deep Learning Deep Learning
  2. - Part of the machine learning field of learning representations

    of data - “Deep Learning“ means using a neural network with several layers of nodes between input and output (mimic the neural networks of our brain) - If provide the system tons of information, it began to understand it and response in useful ways. What is Deep Learning ??
  3. No more feature engineering Machine Learning - Strong focus on

    ”feature engineering” Deep Learning - Algorithms for automatic “feature engineering” or “feature detectors”
  4. Why Deep Learning ? - Speech Recognition ( Audio) -

    Image Recognition - Computer Vision - Information Retrieval - Natural Language Processing - & yours (+++)
  5. Applications - Speech Recognition ( Audio) - Image Recognition -

    Computer Vision - Information Retrieval - Natural Language Processing - & yours (+++)
  6. Natural Language Processing - Text Classification - Language Modeling -

    Speech Recognition - Caption Generation - Machine Translation - Document Summarization - Question Answering - ...
  7. Machine Translation Encoder Embed He loved to eat . S

    Decoder Er liebte zu essen . Softmax Er liebte zu essen NULL