Deep Learning Convolutional Neural Networks in Python
  • ondemand_video
       Video Length : 6h30m0s
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       Tasks Number : 47
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       Students Enrolled : 228
  • equalizer
       Medium Level
  • Curriculum
  • 1. Outline and Review
    • videocam
      Introduction and Outline
      10m0s
    • videocam
      Review of Important Concepts
      10m0s
    • videocam
      Where to get the code and data for this course
      10m0s
    • videocam
      How to Succeed in this Course
      10m0s
    • videocam
      Tensorflow or Theano - Your Choice!
      10m0s
    • videocam
      How to load the SVHN data and benchmark a vanilla deep network
      10m0s
  • 2. Convolution
    • videocam
      Real-Life Examples of Convolution
      10m0s
    • videocam
      Beginner's Guide to Convolution
      10m0s
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      What is convolution?
      10m0s
    • videocam
      Convolution example with audio: Echo
      10m0s
    • videocam
      Convolution example with images: Gaussian Blur
      10m0s
    • videocam
      Convolution example with images: Edge Detection
      10m0s
    • videocam
      Write Convolution Yourself
      10m0s
    • videocam
      Alternative Views on Convolution
      10m0s
  • 3. Convolutional Neural Network Description
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      Translational Invariance
      10m0s
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      Architecture of a CNN
      10m0s
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      Convolution on 3-D Images
      10m0s
    • videocam
      Tracking Shapes in a CNN
      10m0s
    • videocam
      Relationship to Biology
      10m0s
    • videocam
      Convolution and Pooling Gradients
      10m0s
    • videocam
      LeNet - How the Shapes Go Together
      10m0s
  • 4. Convolutional Neural Network in Theano
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      Theano - Building the CNN components
      10m0s
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      Theano - Full CNN and Test on SVHN
      10m0s
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      Visualizing the Learned Filters
      10m0s
  • 5. Convolutional Neural Network in TensorFlow
    • videocam
      TensorFlow - Building the CNN components
      10m0s
    • videocam
      TensorFlow - Full CNN and Test on SVHN
      10m0s
  • 6. Practical Tips
    • videocam
      Practical Image Processing Tips
      10m0s
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      Advanced CNNs and how to Design your Own
      10m0s
  • 7. Project: Facial Expression Recognition
    • videocam
      Facial Expression Recognition Project Introduction
      10m0s
    • videocam
      Facial Expression Recognition Problem Description
      10m0s
    • videocam
      The class imbalance problem
      10m0s
    • videocam
      Utilities walkthrough
      10m0s
    • videocam
      Convolutional Net in Theano
      10m0s
    • videocam
      Convolutional Net in TensorFlow
      10m0s
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      Facial Expression Recognition Project Summary
      10m0s
  • 8. Basics Review
    • videocam
      Theano Basics
      10m0s
    • videocam
      Theano Neural Network in Code
      10m0s
    • videocam
      Tensorflow Basics
      10m0s
    • videocam
      Tensorflow Neural Network in Code
      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 Convolutional Neural Networks in Python


Deep Learning Convolutional Neural Networks in Python

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