This is from Programming assignment 1 from the famous Machine Learning course by Andrew Ng.

Github: https://github.com/AladdinPerz....on/Courses/tree/mast

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A friendly introduction to neural networks and deep learning.

This is a follow up to the Introduction to Machine Learning video.
https://www.youtube.com/watch?v=IpGxLWOIZy4

Note: In this tutorial I use natural logarithms. If you used logarithms base 10, you may get different answers that I got, although at the end it doesn't matter, since using a different base for the logarithm just scales all the logarithms by a constant.

00:00 What is machine learning?
2:22 Gradient descent
5:07 Neural network
10:11 logistic regression
12:28 Probability
14:57 Activation Function
19:56 Error function
22:34 Node(Neuron)
24:07 Non-linear regions
31:22 Deep neural network

In this video, I am building Deep Learning PC build from scratch. Now just a disclaimer, in order to learn deep learning you don't need to have such an expensive setup. Whatever laptop or personal computer you have should still work ok. If you have a requirements for running heavy jobs, you can utilize cloud for that. For me, NVIDIA gave 2500$ Titan RTX GPU for free and than I spent close to 1000$ for other parts to build this PC. My plan is to run some heavy deep learning jobs on this computer and I will be making videos on that in future.
Special thanks to my nephew (Harsh Patel) who helped me a lot during entire PC build process. Thanks Harsh! :)

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

PC Parts
========
Processor: AMD Ryzen 7 3700 8-Core
Motherboard: Asus ROG Strix B450-F Gaming Motherboard
GPU: NVIDIA Titan RTX
SSD: Sabrent Rocket Q 1TB SSD
Power Supply: Thermaltake 650 W power supply
32 GB RAM
Cooling Graphite Thermal Pad (To keep the CPU cool)
BenQ 27 inch monitor
Thermaltake V200 Tempered Glass Case (Cabin)
Magnetic LED strip (for inside lighting)
Wireless keyboard and mouse

Website: https://codebasics.io/
Facebook: https://www.facebook.com/codebasicshub
Twitter: https://twitter.com/codebasicshub

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