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Medhy Vinceslas Mdhvince

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Mdhvince / imgrt.png
Last active Apr 25, 2019
Visualizing Training and Validation Loss During the training process using PyTorch and Bokeh


Here is my Portfolio of projects related to Computer Vision after my engineering graduation, so during my online Nanodegree in Computer Vision

Skills covered

  • Implement image processing techniques
  • Create and apply convolutional filters to images to smooth them or detect object edges
  • Apply feature extraction methods like Histogram of Oriented Gradients (HOG) and ORB
  • Define and train convolutional neural network (CNN) for classification
  • Build a CNN that aims to solve a regression task like detecting facial keypoints; this skill can be extended to the task of emotion recognition
  • Use long short-term memory cells to create an RNN that can produce captions given an image feature vector
  • Train an algorithmic models to predict and understand visual scenes
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