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TORRENT DETAILS
Udemy - Hands On Python Course For Deep Learning In Computer Vision
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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FILE LIST
Filename
Size
~Get Your Files Here !/1. Introduction/1. Welcome and Introduction.mp4
105 MB
~Get Your Files Here !/2. Task 1, Part 1 The Cats v Dogs Binary Classification Computer Vision Task/1. Task 1, Part 1.mp4
159.1 MB
~Get Your Files Here !/2. Task 1, Part 1 The Cats v Dogs Binary Classification Computer Vision Task/1.1 Cats_vs_Dogs_with_Data_Augmentation_CNN.ipynb
28.3 KB
~Get Your Files Here !/2. Task 1, Part 1 The Cats v Dogs Binary Classification Computer Vision Task/2. Task 1, Part 2.mp4
314.2 MB
~Get Your Files Here !/2. Task 1, Part 1 The Cats v Dogs Binary Classification Computer Vision Task/3. Task 1, Part 3.mp4
213.7 MB
~Get Your Files Here !/3. Task 2 Using Python for classifying the MNIST Computer Vision Task/1. Task 2, Lecture 1.mp4
113.3 MB
~Get Your Files Here !/3. Task 2 Using Python for classifying the MNIST Computer Vision Task/1.1 MNIST_Classification.ipynb
43.2 KB
~Get Your Files Here !/3. Task 2 Using Python for classifying the MNIST Computer Vision Task/2. Task 2, Lecture 2.mp4
107.5 MB
~Get Your Files Here !/4. Task 3 Using Python for transfer learning on the Caltech-101 Vision Dataset/1. Task 3, Part 1.mp4
168.5 MB
~Get Your Files Here !/4. Task 3 Using Python for transfer learning on the Caltech-101 Vision Dataset/1.1 CALTECH101_TransferLearning.ipynb
626.4 KB
~Get Your Files Here !/4. Task 3 Using Python for transfer learning on the Caltech-101 Vision Dataset/2. Task 3, Part 2.mp4