# Deep Learning

{% embed url="<https://ml-cheatsheet.readthedocs.io/en/latest/>" %}

{% embed url="<https://towardsdatascience.com/linear-algebra-cheat-sheet-for-deep-learning-cd67aba4526c>" %}

{% embed url="<https://towardsdatascience.com/introducing-deep-learning-and-neural-networks-deep-learning-for-rookies-1-bd68f9cf5883>" %}

{% embed url="<https://towardsdatascience.com/multi-layer-neural-networks-with-sigmoid-function-deep-learning-for-rookies-2-bf464f09eb7f>" %}

{% embed url="<https://dashee87.github.io/deep%20learning/visualising-activation-functions-in-neural-networks/>" %}

{% embed url="<http://www.wildml.com/2015/09/implementing-a-neural-network-from-scratch/>" %}

{% embed url="<https://beckernick.github.io/neural-network-scratch/>" %}

![](https://minireference.com/static/tutorials/linear_algebra_in_4_pages.pdf)

{% embed url="<https://www.cs.cmu.edu/~tom/10701_sp11/lectures.shtml>" %}

## Neural Network

{% embed url="<https://www.youtube.com/redirect?q=http%3A%2F%2F3b1b.co%2Fneural-networks&redir_token=JhNxUnD8IzQwArZkAYSQOR0gt818MTU0ODE2NDUyN0AxNTQ4MDc4MTI3&v=aircAruvnKk&event=video_description>" %}

{% embed url="<https://colah.github.io/>" %}

{% embed url="<http://cs231n.stanford.edu/syllabus.html>" %}
CS231n: Convolutional Neural Networks for Visual Recognition
{% endembed %}

{% embed url="<https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv>" %}