Welcome to Yayun Liu's Blog!

• Deep Learning 4.0.2: The Convolution Layer

  2024-06-28

  machine-learning  deep-learning

  CNN
  This post explains the convolution layer in CNN.
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• Deep Learning 4.0.1: CNN Architecture

  2024-06-28

  machine-learning  deep-learning

  CNN
  This post shows the architecture of CNN.
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• Deep Learning 4.0.0: Convolutional Neural Network (CNN)

  2024-05-31

  machine-learning  deep-learning

  CNN
  This post explains the key concepts involved at Convolutional Neural Network (CNN).
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• Deep Learning 3.2.0: Neural Networks 101

  2024-05-23

  machine-learning  deep-learning

  neural-networks
  This post contains a slide deck that explains basic concepts of Machine Learning with a focus on Nueural Networks.
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• Deep Learning 3.1.1: What Is TensorFlow?

  2024-05-18

  machine-learning  deep-learning

  tensorflow
  This post explains TensorFlow.
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• Deep Learning 3.1.0: Image recognition using Fashion MNIST dataset

  2024-05-17

  machine-learning  deep-learning

  neural-networks
  This post describes how to create a simple neural network to recognize images in the Fashion MNIST dataset.
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• Deep Learning 3.0.2: Backpropagation

  2024-05-16

  machine-learning  deep-learning

  neural-networks
  This post discusses about the back propagation process of a neural network. Python code implementation is also provided.
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• Deep Learning 3.0.1: Loss Functions

  2024-05-16

  machine-learning  deep-learning

  deep-learning
  This post discusses the loss functions used in deep learning.
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• Deep Learning 3.0.0: Forward Propagation

  2024-05-15

  machine-learning  deep-learning

  neural-networks
  This post discusses about the forward propagation process of a neural network. Python code implementation is also provided.
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• Deep Learning 2.0.1: Activation Functions

  2024-05-15

  machine-learning  deep-learning

  neural-networks
  This post discusses about the activation functions with Python implementations.
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