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

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[ DevCourseWeb.com ] Udemy - Python neural networks from scratch. Build them step by step
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 01 - Course Introduction
    • 001 What can you expect from this course.mp4 (18.7 MB)
    • 001 What can you expect from this course_en.srt (9.6 KB)
    • 002 Who are you and what do you need.mp4 (7.8 MB)
    • 002 Who are you and what do you need_en.srt (4.1 KB)
    02 - Neural Network Introduction
    • 001 What is a neural network.mp4 (10.2 MB)
    • 001 What is a neural network_en.srt (4.4 KB)
    03 - Linear Regression
    • 001 Linear Regression.mp4 (48.1 MB)
    • 001 Linear Regression_en.srt (14.0 KB)
    • 002 Cost functions.mp4 (52.0 MB)
    • 002 Cost functions_en.srt (15.1 KB)
    • 003 Bias.mp4 (54.3 MB)
    • 003 Bias_en.srt (8.9 KB)
    04 - Real Data
    • 001 Real Data.mp4 (34.9 MB)
    • 001 Real Data_en.srt (6.0 KB)
    • 002 Second Input.mp4 (63.5 MB)
    • 002 Second Input_en.srt (10.0 KB)
    • 003 Normalise Data.mp4 (29.2 MB)
    • 003 Normalise Data_en.srt (5.5 KB)
    • external-assets-links.txt (0.5 KB)
    05 - Classification
    • 001 Gradient Descent.mp4 (47.9 MB)
    • 001 Gradient Descent_en.srt (11.3 KB)
    • 002 Classification Introduction.mp4 (10.2 MB)
    • 002 Classification Introduction_en.srt (5.7 KB)
    • 003 Activation.mp4 (59.1 MB)
    • 003 Activation_en.srt (9.5 KB)
    06 - Multiclass Classification
    • 001 Softmax.mp4 (95.7 MB)
    • 001 Softmax_en.srt (21.4 KB)
    • 002 Non Linear Data.mp4 (27.2 MB)
    • 002 Non Linear Data_en.srt (3.7 KB)
    • external-assets-links.txt (0.4 KB)
    07 - Hidden Layers, Random Weights
    • 001 Adding Hidden Layers.mp4 (135.3 MB)
    • 001 Adding Hidden Layers_en.srt (17.6 KB)
    • 002 Recap.mp4 (10.3 MB)
    • 002 Recap_en.srt (3.2 KB)
    • 003 Random Weights.mp4 (39.3 MB)
    • 003 Random Weights_en.srt (5.5 KB)
    08 - Handwritten Digits Recognition
    • 001 Mini Batch Gradient Descent.mp4 (52.6 MB)
    • 001 Mini Batch Gradient Descent_en.srt (8.2 KB)
    • 002 Recognizing Handwritten Digits.html (0.0 KB)
    • 003 Conclusion.mp4 (10.5 MB)
    • 003 Conclusion_en.srt (3.0 KB)
    • external-assets-links.txt (0.1 KB)
    • Bonus Resources.txt (0.4 KB)

Description

Python neural networks from scratch. Build them step by step



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.



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

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807.1 MB
seeders:11
leechers:16
Udemy - Python neural networks from scratch. Build them step by step

Torrent hash: 871C386365706CA346C3DD367A667491A05BE62E