Udemy - Transfer Learning in Angular

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[ DevCourseWeb.com ] Udemy - Transfer Learning in Angular
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Getting to know our course
    • 1. Initial details.mp4 (143.5 MB)
    • 1. Initial details.srt (8.7 KB)
    • 1.1 GitHub repository.html (0.1 KB)
    • 2. Seeing deep learning metaphorically.mp4 (123.1 MB)
    • 2. Seeing deep learning metaphorically.srt (7.5 KB)
    • 3. Details on how transfer learning is on the course.mp4 (64.6 MB)
    • 3. Details on how transfer learning is on the course.srt (4.7 KB)
    2. Transfer learning
    • 1. Initial words.mp4 (66.7 MB)
    • 1. Initial words.srt (4.4 KB)
    • 1.1 transfer learning.pptx (2.0 MB)
    • 2. What is transfer learning.mp4 (59.8 MB)
    • 2. What is transfer learning.srt (4.1 KB)
    • 3. Feature extractors for transfer learning.mp4 (98.7 MB)
    • 3. Feature extractors for transfer learning.srt (6.4 KB)
    • 4. Humans also make transfer learning.mp4 (78.9 MB)
    • 4. Humans also make transfer learning.srt (5.2 KB)
    • 5. Machine learning is a rule finder!.mp4 (61.0 MB)
    • 5. Machine learning is a rule finder!.srt (4.1 KB)
    3. Teachable Machine as a transfer learning platform
    • 1. Making transfer learning accessable.mp4 (290.4 MB)
    • 1. Making transfer learning accessable.srt (23.7 KB)
    4. Using mobilenet as feature extractor, and KNN as classifier
    • 1. Palavras iniciais.mp4 (124.8 MB)
    • 1. Palavras iniciais.srt (8.3 KB)
    • 2. Getting ready to make the feature stack for transfer learning.mp4 (132.2 MB)
    • 2. Getting ready to make the feature stack for transfer learning.srt (8.6 KB)
    • 3. Creating our feature model.mp4 (179.4 MB)
    • 3. Creating our feature model.srt (8.6 KB)
    • 4. Solving a problem mobilenet does not work.html (0.1 KB)
    • 5. Using our features on the KNN model.mp4 (134.5 MB)
    • 5. Using our features on the KNN model.srt (7.2 KB)
    5. Using a feature model based on mobilenet for teaching a neural network
    • 1. Initial words.mp4 (106.1 MB)
    • 1. Initial words.srt (6.8 KB)
    • 2. Getting ready to transfer learning.mp4 (220.8 MB)
    • 2. Getting ready to transfer learning.srt (10.8 KB)
    • 3. Precodes for training from features.mp4 (218.8 MB)
    • 3. Precodes for training from features.srt (9.8 KB)
    • 4. Getting our model to extract features from images.mp4 (200.7 MB)
    • 4. Getting our model to extract features from images.srt (8.6 KB)
    • 5. Training our model from features from mobilenet.mp4 (203.7 MB)
    • 5. Training our model from features from mobilenet.srt (10.1 KB)
    • 6. Using our model to separate snakes from bunnies.mp4 (203.6 MB)
    • 6. Using our model to separate snakes from bunnies.srt (7.8 KB)
    • 7. Advanced snakes classifications.mp4 (143.2 MB)
    • 7. Advanced snakes classifications.srt (5.5 KB)
    6. Closing section
    • 1. Final words.mp4 (66.8 MB)
    • 1. Final words.srt (4.0 KB)
    • Bonus Resources.txt (0.4 KB)

Description

Transfer Learning in Angular



https://DevCourseWeb.com

Published 7/2023
Created by Jorge Guerra Pires,TensorFlow.js Academy
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 21 Lectures ( 2h 33m ) | Size: 2.85 GB

learning to apply transfer learning using TensorFlow.js in TypeScript

What you'll learn
Basics of transfer learning
Applying transfer learning using TypeScript
Basics of Angular apps using transfer learning
Basics of image classification using machine learning

Requirements
Tried to explain all, but basics of TensorFlowjs and Angular may be advantageous



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Udemy - Transfer Learning in Angular

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2.9 GB
seeders:1
leechers:20
Udemy - Transfer Learning in Angular

Torrent hash: E056E713E2B9F891804E965021A140E268E175DC