Deep Learning Advanced NLP and RNNs
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       Video Length : 8h20m0s
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       Tasks Number : 57
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       Students Enrolled : 660
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       Medium Level
  • Curriculum
  • 1. Welcome
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      Introduction
      10m0s
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      Outline
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      Where to get the code
      10m0s
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      How to Succeed in this Course
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  • 2. Review
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      Review Section Introduction
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      What is a word embedding?
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      Using word embeddings
      10m0s
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      What is a CNN?
      10m0s
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      Where to get the data
      10m0s
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      CNN Code (part 1)
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      CNN Code (part 2)
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      What is an RNN?
      10m0s
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      GRUs and LSTMs
      10m0s
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      Different Types of RNN Tasks
      10m0s
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      A Simple RNN Experiment
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      RNN Code
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      Review Section Summary
      10m0s
  • 3. Bidirectional RNNs
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      Bidirectional RNNs Motivation
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      Bidirectional RNN Experiment
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      Bidirectional RNN Code
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      Image Classification with Bidirectional RNNs
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      Image Classification Code
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      Bidirectional RNNs Section Summary
      10m0s
  • 4. Sequence-to-sequence models (Seq2Seq)
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      Seq2Seq Theory
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      Seq2Seq Applications
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      Decoding in Detail and Teacher Forcing
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      Poetry Revisited
      10m0s
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      Poetry Revisited Code 1
      10m0s
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      Poetry Revisited Code 2
      10m0s
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      Seq2Seq in Code 1
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      Seq2Seq in Code 2
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      Seq2Seq Section Summary
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  • 5. Attention
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      Attention Section Introduction
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      Attention Theory
      10m0s
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      Teacher Forcing
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      Helpful Implementation Details
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      Attention Code 1
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      Attention Code 2
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      Visualizing Attention
      10m0s
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      Building a Chatbot without any more Code
      10m0s
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      Attention Section Summary
      10m0s
  • 6. Memory Networks
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      Memory Networks Section Introduction
      10m0s
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      Memory Networks Theory
      10m0s
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      Memory Networks Code 1
      10m0s
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      Memory Networks Code 2
      10m0s
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      Memory Networks Code 3
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      Memory Networks Section Summary
      10m0s
  • 7. Basics Review
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      Keras Discussion
      10m0s
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      Keras Neural Network in Code
      10m0s
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      Keras Functional API
      10m0s
Authors

Kevin Gautama is a systems design and programming engineer with 16 years of expertise in the fields of electrical and electronics and information technology.

He teaches at the Hanoi University of Industry in the period 2003-2011 and he has a certificate of vocational training by the Ministry of Industry and Commerce and the Hanoi University of Industry.

From extensive design experience through numerous engineering projects, the author founded the Enziin Academy.

The Enziin Academy is a startup in the field of educational, it's core goal is to training design engineers in the fields technology related.

The Enziin Academy is headquartered in Stockholm-Sweden with an orientation operating multi-lingual and global.

The author's skills in IT:

  • Implementing the application infrastructure on Amazon's cloud computing platform.
  • Linux server system administration (Sysadmin).
  • Design load balancing and content distribution system.
  • MySQL database administration.
  • C/C++/C# Programming
  • Ruby and Ruby on Rails Programming
  • Python and Django Programming
  • The WPF/C# on the .NET Framework Programming
  • The PHP/JAVA Programming
  • Machine Learning and Expert System.
  • Internet of Things.

The author's skills in the fields of electric and electronic:

  • The design of popular CPU / MCU systems.
  • Design FPGA / CPLD system (Xilinx - Altera).
  • Design and programming of DSP systems (Texas Instruments).
  • Embedded ARM system design.
  • The RTOS Programming
  • Design and programming electronic power systems.
  • PLC - inverter - sensor - electric control cabinet industrial.
  • Control systems distributed connection with Server.

Read more...

Deep Learning Advanced NLP and RNNs


Deep Learning Advanced NLP and RNNs

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