Udemy - Hands On Python Course for Deep Learning in Computer Vision

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[ DevCourseWeb.com ] Udemy - Hands On Python Course for Deep Learning in Computer Vision
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 1. Introduction
    • 1. Welcome and Introduction.mp4 (105.0 MB)
    2. Task 1, Part 1 The Cats v Dogs Binary Classification Computer Vision Task
    • 1. Task 1, Part 1.mp4 (159.1 MB)
    • 1.1 Cats_vs_Dogs_with_Data_Augmentation_CNN.ipynb (28.3 KB)
    • 2. Task 1, Part 2.mp4 (314.2 MB)
    • 3. Task 1, Part 3.mp4 (213.7 MB)
    3. Task 2 Using Python for classifying the MNIST Computer Vision Task
    • 1. Task 2, Lecture 1.mp4 (113.3 MB)
    • 1.1 MNIST_Classification.ipynb (43.2 KB)
    • 2. Task 2, Lecture 2.mp4 (107.5 MB)
    4. Task 3 Using Python for transfer learning on the Caltech-101 Vision Dataset
    • 1. Task 3, Part 1.mp4 (168.5 MB)
    • 1.1 CALTECH101_TransferLearning.ipynb (626.4 KB)
    • 2. Task 3, Part 2.mp4 (197.3 MB)
    • Bonus Resources.txt (0.4 KB)

Description

Hands On Python Course for Deep Learning in Computer Vision

https://DevCourseWeb.com

Published 2/2024
Created by A. M. Hafiz
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 8 Lectures ( 3h 29m ) | Size: 1.34 GB

Python Programming; Deep Learning; Computer Vision; CNNs; Caltech-101; MNIST Digits;

What you'll learn:
Build knowledge on deep learning programming for computer vision tasks
Be introduced to Google Colab and Python Programming
Augment research enterprise
Update their professional skills to seek a better career in AI companies

Requirements:
Basic knowhow of Python programming



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Udemy - Hands On Python Course for Deep Learning in Computer Vision


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1.3 GB
seeders:7
leechers:17
Udemy - Hands On Python Course for Deep Learning in Computer Vision


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