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Udemy - Python neural networks from scratch. Build them step by step

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Description
[ DevCourseWeb.com ] Python neural networks from scratch. Build them step by step



If You Need More Stuff, kindly Visit and Support Us -->> https://DevCourseWeb.com







MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English + srt | Duration: 20 lectures (3h 10m) | Size: 594.1 MB



Understand linear regression, gradient descent and many more by building neural networks without libraries or frameworks



What you'll learn

Understand the ideas behind neural networks.

Learn how to use plain Python to create neural networks.

Learn concepts like feed forward, backward propagation, gradient descent, regression step by step.

Understand how Softmax, ReLU and Sigmoid allow you to approximate complex non-linear prediction functions.

Realise that neural networks are not magic and can be implemented without using libraries, in any language you desire.



Requirements

You have an interest in neural networks.

You have some programming experience in Python or another language.

There will be no exercises in this course. Feel free to write along with the code examples.



If You Need More Stuff, kindly Visit and Support Us -->> https://CourseWikia.com



Get More Tutorials and Support Us -->> https://FreeCourseWeb.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...



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File list
  • Udemy - Python neural networks from scratch. Build them step by step
  • ~Get Your Files Here !/01 - Course Introduction/001 What can you expect from this course.mp4 18.7 MB
  • ~Get Your Files Here !/01 - Course Introduction/001 What can you expect from this course_en.srt 9.6 KB
  • ~Get Your Files Here !/01 - Course Introduction/002 Who are you and what do you need.mp4 7.8 MB
  • ~Get Your Files Here !/01 - Course Introduction/002 Who are you and what do you need_en.srt 4.1 KB
  • ~Get Your Files Here !/02 - Neural Network Introduction/001 What is a neural network.mp4 10.2 MB
  • ~Get Your Files Here !/02 - Neural Network Introduction/001 What is a neural network_en.srt 4.4 KB
  • ~Get Your Files Here !/03 - Linear Regression/001 Linear Regression.mp4 48.1 MB
  • ~Get Your Files Here !/03 - Linear Regression/001 Linear Regression_en.srt 14 KB
  • ~Get Your Files Here !/03 - Linear Regression/002 Cost functions.mp4 52 MB
  • ~Get Your Files Here !/03 - Linear Regression/002 Cost functions_en.srt 15.1 KB
  • ~Get Your Files Here !/03 - Linear Regression/003 Bias.mp4 54.3 MB
  • ~Get Your Files Here !/03 - Linear Regression/003 Bias_en.srt 8.9 KB
  • ~Get Your Files Here !/04 - Real Data/001 Real Data.mp4 34.9 MB
  • ~Get Your Files Here !/04 - Real Data/001 Real Data_en.srt 6 KB
  • ~Get Your Files Here !/04 - Real Data/002 Second Input.mp4 63.5 MB
  • ~Get Your Files Here !/04 - Real Data/002 Second Input_en.srt 10 KB
  • ~Get Your Files Here !/04 - Real Data/003 Normalise Data.mp4 29.2 MB
  • ~Get Your Files Here !/04 - Real Data/003 Normalise Data_en.srt 5.5 KB
  • ~Get Your Files Here !/04 - Real Data/external-assets-links.txt 472 B
  • ~Get Your Files Here !/05 - Classification/001 Gradient Descent.mp4 47.9 MB
  • ~Get Your Files Here !/05 - Classification/001 Gradient Descent_en.srt 11.3 KB
  • ~Get Your Files Here !/05 - Classification/002 Classification Introduction.mp4 10.2 MB
  • ~Get Your Files Here !/05 - Classification/002 Classification Introduction_en.srt 5.7 KB
  • ~Get Your Files Here !/05 - Classification/003 Activation.mp4 59.1 MB
  • ~Get Your Files Here !/05 - Classification/003 Activation_en.srt 9.5 KB
  • ~Get Your Files Here !/06 - Multiclass Classification/001 Softmax.mp4 95.7 MB
  • ~Get Your Files Here !/06 - Multiclass Classification/001 Softmax_en.srt 21.4 KB
  • ~Get Your Files Here !/06 - Multiclass Classification/002 Non Linear Data.mp4 27.2 MB
  • ~Get Your Files Here !/06 - Multiclass Classification/002 Non Linear Data_en.srt 3.7 KB
  • ~Get Your Files Here !/06 - Multiclass Classification/external-assets-links.txt 446 B
  • ~Get Your Files Here !/07 - Hidden Layers, Random Weights/001 Adding Hidden Layers.mp4 135.3 MB
  • ~Get Your Files Here !/07 - Hidden Layers, Random Weights/001 Adding Hidden Layers_en.srt 17.6 KB
  • ~Get Your Files Here !/07 - Hidden Layers, Random Weights/002 Recap.mp4 10.3 MB
  • ~Get Your Files Here !/07 - Hidden Layers, Random Weights/002 Recap_en.srt 3.2 KB
  • ~Get Your Files Here !/07 - Hidden Layers, Random Weights/003 Random Weights.mp4 39.3 MB
  • ~Get Your Files Here !/07 - Hidden Layers, Random Weights/003 Random Weights_en.srt 5.5 KB
  • ~Get Your Files Here !/08 - Handwritten Digits Recognition/001 Mini Batch Gradient Descent.mp4 52.6 MB
  • ~Get Your Files Here !/08 - Handwritten Digits Recognition/001 Mini Batch Gradient Descent_en.srt 8.2 KB
  • ~Get Your Files Here !/08 - Handwritten Digits Recognition/002 Recognizing Handwritten Digits.html 0 B
  • ~Get Your Files Here !/08 - Handwritten Digits Recognition/003 Conclusion.mp4 10.5 MB
  • ~Get Your Files Here !/08 - Handwritten Digits Recognition/003 Conclusion_en.srt 3 KB
  • ~Get Your Files Here !/08 - Handwritten Digits Recognition/external-assets-links.txt 105 B
  • ~Get Your Files Here !/Bonus Resources.txt 386 B

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