Deep Learning in Practice III - Face Recognition

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Deep Learning in Practice III - Face Recognition

Torrent Contents Size: 911.6 MB

Deep Learning in Practice III - Face Recognition
▼ show more 66 files
001 Course Overview.en.srt
SRT
6.8 KB
001 Course Overview.mp4
MP4
33.9 MB
001 Learning outcomes.en.srt
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1.9 KB
001 Learning outcomes.mp4
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6 MB
001 Overview and Learning Outcomes.en.srt
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1.2 KB
001 Overview and Learning Outcomes.mp4
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6.2 MB
001 Overview.en.srt
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2.9 KB
001 Overview.mp4
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18.4 MB
002 Course Google Colab Notebooks.html
HTML
1.1 KB
002 Demo.en.srt
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2.6 KB
002 Demo.mp4
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20.9 MB
002 Extract Faces and Create Embeddings.en.srt
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8.3 KB
002 Extract Faces and Create Embeddings.mp4
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58.2 MB
002 Face Extraction and Face Recognition Background.en.srt
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3.3 KB
002 Face Extraction and Face Recognition Background.mp4
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22.9 MB
003 Face Identification using Face Embedding.en.srt
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6 KB
003 Face Identification using Face Embedding.mp4
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32.8 MB
003 Face Recognition vs Face Verification.en.srt
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2.1 KB
003 Face Recognition vs Face Verification.mp4
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7.5 MB
003 Install Dependencies and Import Libraries.en.srt
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3.1 KB
003 Install Dependencies and Import Libraries.mp4
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17.2 MB
004 Difference with Traditional Classification.en.srt
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4.6 KB
004 Difference with Traditional Classification.mp4
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17.3 MB
004 Load of a face image.en.srt
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4.7 KB
004 Load of a face image.mp4
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35.8 MB
005 Extract Faces_ MTCNN Library.en.srt
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1.8 KB
005 Extract Faces_ MTCNN Library.mp4
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12.7 MB
005 Face Recognition Use Case.en.srt
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921.6 B
005 Face Recognition Use Case.mp4
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4.9 MB
006 Face Metadata.en.srt
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3.7 KB
006 Face Metadata.mp4
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26.2 MB
006 One Shot Classification and Siamese Networks.en.srt
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4.5 KB
006 One Shot Classification and Siamese Networks.mp4
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20.4 MB
007 One Shot Learning.en.srt
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1.9 KB
007 One Shot Learning.mp4
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9.3 MB
007 Understand the Face Bounding Box Coordinates.en.srt
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3.2 KB
007 Understand the Face Bounding Box Coordinates.mp4
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22.3 MB
008 Analyze the First Detected Face.en.srt
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2.2 KB
008 Analyze the First Detected Face.mp4
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15.8 MB
008 What is a Face Embedding_.en.srt
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7.5 KB
008 What is a Face Embedding_.mp4
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31.2 MB
009 Analyze the Second Detected Face_ The hidden face _-).en.srt
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3 KB
009 Analyze the Second Detected Face_ The hidden face _-).mp4
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23.9 MB
009 One Shot Learning Example.en.srt
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2.7 KB
009 One Shot Learning Example.mp4
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8.7 MB
010 Extract the Face Bounding Box.en.srt
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3.7 KB
010 Extract the Face Bounding Box.mp4
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21.8 MB
010 Siamese Networks.en.srt
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5.6 KB
010 Siamese Networks.mp4
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22.1 MB
011 Create a Face Embedding with a Triplet Loss Training.en.srt
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8.3 KB
011 Create a Face Embedding with a Triplet Loss Training.mp4
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32.8 MB
011 Face Embedding Pre-Requisites.en.srt
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1.9 KB
011 Face Embedding Pre-Requisites.mp4
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9.1 MB
012 How to Build a Triplet Loss Dataset.en.srt
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8.3 KB
012 How to Build a Triplet Loss Dataset.mp4
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38.9 MB
012 Load FaceNet with Tensorflow Keras Library.en.srt
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1.1 KB
012 Load FaceNet with Tensorflow Keras Library.mp4
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5.5 MB
013 Create a Face Embedding with FaceNet.en.srt
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2.7 KB
013 Create a Face Embedding with FaceNet.mp4
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12 MB
013 Illustration of Training a Siamese Network Model with Triplet Loss.en.srt
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7.3 KB
013 Illustration of Training a Siamese Network Model with Triplet Loss.mp4
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25.9 MB
014 Generate and Understand the Face Embedding with FaceNet.en.srt
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1.9 KB
014 Generate and Understand the Face Embedding with FaceNet.mp4
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15.2 MB
014 Triplet Loss Summary.en.srt
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3.3 KB
014 Triplet Loss Summary.mp4
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14.6 MB
015 Face Recognition and Binary Classification.en.srt
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13.6 KB
015 Face Recognition and Binary Classification.mp4
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50.6 MB
015 Save the Face Embedding in a File (create a face database).en.srt
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3.1 KB
015 Save the Face Embedding in a File (create a face database).mp4
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17 MB
016 Load the Face Embedding from a File.en.srt
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1.9 KB
016 Load the Face Embedding from a File.mp4
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9.1 MB
017 Concluding remarks.en.srt
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819.2 B
017 Concluding remarks.mp4
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3.2 MB
02_identify_a_face.ipynb
IPYNB
906.3 KB
Bonus Resources.txt
TXT
307.2 B
Get Bonus Downloads Here.url
URL
204.8 B
anis.png
PNG
163.6 KB
anis2.png
PNG
164.4 KB
facenet_keras_128.h5
H5
88.1 MB
facenet_keras_512.h5
H5
90.8 MB
faces.jpg
JPG
68.7 KB

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