[ FreeCourseWeb ] Udemy - Image Recognition with Neural Networks From Scratch

[ FreeCourseWeb.com ] Image Recognition with Neural Networks From Scratch

Download More Latest Courses Visit -->> https://FreeCourseWeb.com



MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 7 lectures (3 hour, 1 mins) | Size: 1.57 GB
Write An Image Recognition Program in Python
What you'll learn

Write a Python program that recognizes images from scratch without using any libraries!
Understand A Neural Network is.
Understand some important mathematical prerequisites such as functions and their computational graphs.
Understand conceptually what a derivative and a gradient is to fully appreciate the Gradient Descent Algorithm.
Understand the Gradient Descent Algorithm, the central algorithm in machine learning with Neural Networks.
Understand Backpropagation and its importance in computing gradients.
Be able to implement the full Python program in 50 lines of code that recognizes images.

Requirements

Some basic knowledge of Python.(Supplemental "Crash Course" resources are provided to review/learn Python.)
Some basics knowledge of Numpy.(Supplemental "Crash Course" resources to review/learn Numpy.)
Some high school precalculus.

Use Winrar to Extract. And use a shorter path when extracting, such as C: drive

ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)

Download More Latest Courses Visit -->> https://FreeCourseWeb.com

Get Latest Apps Tips and Tricks -->> https://AppWikia.com

We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...

udp://opentor.org:2710/announce

udp://p4p.arenabg.com:1337/announce

udp://tracker.torrent.eu.org:451/announce

udp://tracker.cyberia.is:6969/announce

udp://9.rarbg.to:2710/announc

udp://explodie.org:6969/announce

udp://tracker.moeking.me:6969/announce

udp://tracker.opentrackr.org:1337/announce

udp://tracker.tiny-vps.com:6969/announce

udp://ipv4.tracker.harry.lu:80/announce

udp://tracker.coppersurfer.tk:6969/announce

udp://tracker.leechers-paradise.org:6969/announce

udp://open.stealth.si:80/announce

udp://tracker.pirateparty.gr:6969/announce

udp://inferno.demonoid.is:3391/announce