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C. Cui's Blog

Plan: Introduce the Softwares for Machine Learning

tensors_flowing
Tensorflow from Google

Software List: 

  1. Matlab Basic
  2. Matlab  Advanced:
    • LMS 
    • Softmax
    • SVM
    • Neural Network
    • Fizzy System
    • ANFIS.
  3. Python Basic
  4. Python Advanced:  
    • Numpy 
    • Pandas Pandas 
    • Matplotlib  
    • Scikit-learn  
    • Theano 
    • Tensorflow 
    • Keras 
  5. Torch Basic
  6. Torch for Deep Learning.

matlabpythonnumpypandasmatplotlibscikittheanotensorflowkerastorch

To be continued…

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  • Home
  • Tutorial
    • Deep Learning Specialization on Coursera
    • Plan: Introduce the Softwares for Machine Learning
    • Learning from data and Three learning principles
    • Machine Intelligence
      • MathWorks: Introducing Machine Learning
      • Learning from data and Three learning principles
      • Open Courses, Free Softwares and Frameworks of Deep Learning
      • Reading Notebook
        • Fast Neural Style Transfer by PyTorch (Mac OS)
        • Image Style Transfer Using ConvNets by TensorFlow (Windows)
        • Note about Markov Chain Monte Carlo (MCMC) and Restricted Boltzmann Machine (RBM)
        • What soft skills do software developer need?
        • Should you ask a Question during Seminar?
        • How to start a science paper from a beginner
        • Writing in Chinese
          • 你是谁，从哪儿来，到哪儿去
          • 脑子中的想法，请你一定要写出来
    • Neural Network and Deep Learning
      • Deep Learning Tutorial
      • Private: Sparse Autoencoder
      • Private: Restricted Boltzmann Machines
      • Private: Convolutional Neural Networks
    • Deep Learning – SIMPLIFIED (27 vedios)
    • Building ConvNets on MNIST dataset by TensorFlow with the new WIN10 GPU Monitor
    • A Taste of TensorFlow on My Android Phone
    • A Taste of TensorFlow on My Android Phone (II)
    • Fast Neural Style Transfer by PyTorch (Mac OS)
    • Neural Networks for Machine Learning — Geoffrey Hinton
    • Stanford CS229 Machine Learning
    • Stanford CS class CS231n: Convolutional Neural Networks for Visual Recognition
  • Projects
    • The Annotated Transformer: English-to-Chinese Translator
    • Street View Image Segmentation with PyTorch and Facebook Detectron2 (CPU+GPU)
    • How to Build an Artificial Intelligent System (I)
    • How to Build an Artificial Intelligent System (II)
    • QR Code Detector with Webcam (Python / OpenCV / Pyzbar)
    • Roads from Above: Augmenting Civil Engineering & Geospatial Workflows with Machine Learning
    • Sharing My Data Science Notebook (Python & TensorFlow) on GitHub
  • About Me
    • Research and Publication
    • Contact
Follow C. Cui's Blog on WordPress.com
  • Home
  • Tutorial
    • Deep Learning Specialization on Coursera
    • Plan: Introduce the Softwares for Machine Learning
    • Learning from data and Three learning principles
    • Machine Intelligence
      • MathWorks: Introducing Machine Learning
      • Learning from data and Three learning principles
      • Open Courses, Free Softwares and Frameworks of Deep Learning
      • Reading Notebook
        • Fast Neural Style Transfer by PyTorch (Mac OS)
        • Image Style Transfer Using ConvNets by TensorFlow (Windows)
        • Note about Markov Chain Monte Carlo (MCMC) and Restricted Boltzmann Machine (RBM)
        • What soft skills do software developer need?
        • Should you ask a Question during Seminar?
        • How to start a science paper from a beginner
        • Writing in Chinese
          • 你是谁，从哪儿来，到哪儿去
          • 脑子中的想法，请你一定要写出来
    • Neural Network and Deep Learning
      • Deep Learning Tutorial
      • Private: Sparse Autoencoder
      • Private: Restricted Boltzmann Machines
      • Private: Convolutional Neural Networks
    • Deep Learning – SIMPLIFIED (27 vedios)
    • Building ConvNets on MNIST dataset by TensorFlow with the new WIN10 GPU Monitor
    • A Taste of TensorFlow on My Android Phone
    • A Taste of TensorFlow on My Android Phone (II)
    • Fast Neural Style Transfer by PyTorch (Mac OS)
    • Neural Networks for Machine Learning — Geoffrey Hinton
    • Stanford CS229 Machine Learning
    • Stanford CS class CS231n: Convolutional Neural Networks for Visual Recognition
  • Projects
    • The Annotated Transformer: English-to-Chinese Translator
    • Street View Image Segmentation with PyTorch and Facebook Detectron2 (CPU+GPU)
    • How to Build an Artificial Intelligent System (I)
    • How to Build an Artificial Intelligent System (II)
    • QR Code Detector with Webcam (Python / OpenCV / Pyzbar)
    • Roads from Above: Augmenting Civil Engineering & Geospatial Workflows with Machine Learning
    • Sharing My Data Science Notebook (Python & TensorFlow) on GitHub
  • About Me
    • Research and Publication
    • Contact
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