They are meant for my personal review but I have open-source my repository of personal notes as a lot of people found it useful. Since you might have completed the course do you think that it's worth learning octave for this course purpose only because simply I know python language and most of the industry recognizes it. I would like to give full credits to the respective authors as these are my personal python notebooks taken from deep learning courses from Andrew Ng, Data School and Udemy :) This is a simple python notebook hosted generously through Github Pages that is on my main personal notes repository on. It's the highest-rated course over Coursera and uses Matlab/octave that's why I'm hesitating a bit otherwise I would have finished this course. Elements of Theta Vector (Theta0, Theta1, Theta2). Vectorized implementation of gradient descent.Compress for loop to one line of vectorized code.Transposing theta would have a more simpler and efficient code.Determine concentration of numbers on a grid.: perl-yaml-libyaml: public: Perl YAML Serialization using XS and libyaml : perl. (CACSD) Tools for GNU Octave, based on the proven SLICOT Library. Three commands using comma to chain commands image and video datasets and models for torch deep learning : pytorch-gpu: public: PyTorch is an optimized tensor library for deep learning using GPUs and CPUs.Divides plot a 1 x 2 grid, access second element.Divides plot a 1 x 2 grid, access first element.This ‘hold on’ allows you to print two graphs together.Put all elements of A into a single vector.This would replace second column (all rows).This gives everything from Row 1, 3 and all Columns.Get longest dimension (normally applied to vectors).1 x 3 Gaussian Distribution, mean = 0, SD = 1.
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