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Matrix Basics | Deep Learning Tutorial 10 (Tensorflow Tutorial, Keras & Python)



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Matrix fundamentals are essential to understand how deep learning works. In this video we will go over what is matrix, matrix multiplication, dot product etc. We will also do some coding in numpy to multiply matrix, find out dot product and so on. As usual I have intersting exercise for you to solve so make sure you work on that exercise.

Code shown in this video: https://github.com/codebasics/deep-learning-keras-tf-tutorial/blob/master/4_matrix_math/4_matrix_math.ipynb
Exercise: https://github.com/codebasics/deep-learning-keras-tf-tutorial/blob/master/4_matrix_math/4_matrix_math.md
Useful reading on matrix fundamentals: https://www.mathsisfun.com/algebra/matrix-introduction.html

Do you want to learn technology from me? Check https://codebasics.io/ for my affordable video courses.

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#matrixdeeplearning #matrixtutorial #matrixbasics #matrixdeeplearning #matrixinpython

Next video: https://www.youtube.com/watch?v=rYQIQrGmydU&list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO&index=11

Previous video: https://www.youtube.com/watch?v=cT4pQT5Da0Q&list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO&index=9

Deep learning playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO
Machine learning playlist : https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw  

Prerequisites for this series:   
1: Python tutorials (first 16 videos): https://www.youtube.com/playlist?list=PLeo1K3hjS3uv5U-Lmlnucd7gqF-3ehIh0    
2: Pandas tutorials(first 8 videos): https://www.youtube.com/playlist?list=PLeo1K3hjS3uuASpe-1LjfG5f14Bnozjwy
3: Machine learning playlist (first 16 videos): https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw  

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20 thoughts on “Matrix Basics | Deep Learning Tutorial 10 (Tensorflow Tutorial, Keras & Python)
  1. i have problem with the np.dot- TypeError: 'tuple' object is not callable- i also cpied your code , and it is the same error – would you happen to know why ? that will greatly appriciated . thank you !

  2. What if the matrix itself represent functions not value in row or column. Would it be executable?

    How to visualise for better understand what is going on with the dot product in vector level in function term.

  3. Thank you Dhaval for assuring me that with my bad background in mathematics I will still be able to get a grasp of "deep learning". I will continue in my quest to master this new technology.

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