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Back Propagation Through Time (BPTT) for simple RNN

  • If you are familiar with backpropagation for simple fully connected neural networks using computational graphs, then you can jump to 1:27.
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Application of Singular Value Decomposition (SVD) to Image compression

  • In this video, I show you have SVD could be applied to images (which are essentially a matrix of elements)
  • We can use rank-k approximation to represent an image which eventually leads to image compression
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Vector Space: Independence, Span, Projections (in Tamil)

  • If you are in a hurry to conceptually understand the core Linear algebra concepts, then this video is for you.
  • Prerequisites: Matrix, Vector, matrix-vector product
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Approximation is all you need: Fourier Transform

  • Engineers only do approximations!
  • In this video, I introduce you to one of the most profound mathematical transformations called the Fourier Transform.
  • If you are too rigid about definitions, then in this video I talk about "The Fourier series".
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