Matrix Basics | Deep Learning Tutorial 10 (Tensorflow2.0, Keras & Python)


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/py/blob/master/DeepLearningML/4_matrix_math/4_matrix_math.ipynb
Exercise: https://github.com/codebasics/py/blob/master/DeepLearningML/4_matrix_math/4_matrix_math.md
Useful reading on matrix fundamentals: https://www.mathsisfun.com/algebra/matrix-introduction.html

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