Udacity - Computer Vision Nanodegree v4.0.0 (07/2020)
Udacity - Computer Vision Nanodegree v4.0.0
WEBRip | English | MP4 + Project Files | 1280 x 720 | AVC ~259 kbps | 29.970 fps
AAC | 192 Kbps | 44.1 KHz | 2 channels | Subs: English (.vtt) | ~13 hours | 2.66 GB
Genre: eLearning Video / Technology, Computer Vision, Deep Learning, Python
WEBRip | English | MP4 + Project Files | 1280 x 720 | AVC ~259 kbps | 29.970 fps
AAC | 192 Kbps | 44.1 KHz | 2 channels | Subs: English (.vtt) | ~13 hours | 2.66 GB
Genre: eLearning Video / Technology, Computer Vision, Deep Learning, Python
Become a Computer Vision Expert Master the computer vision skills behind advances in robotics and automation. Write programs to analyze images, implement feature extraction, and recognize objects using deep learning models.ESTIMATED TIME
- 3 Months
- At 10-15 hrs/week
PREREQUISITES
- Python, Statistics, Machine Learning, & Deep Learning
What You Will Learn
Foundations of Computer Vision
Learn cutting-edge computer vision and deep learning techniques—from basic image processing, to building and customizing convolutional neural networks. Apply these concepts to vision tasks such as automatic image captioning and object tracking, and build a robust portfolio of computer vision projects.
PREREQUISITE KNOWLEDGE
This program requires experience with Python, statistics, machine learning, and deep learning.See detailed requirements.
• Introduction to Computer Vision
Master computer vision and image processing essentials. Learn to extract important features from image data, and apply deep learning techniques to classification tasks.
FACIAL KEYPOINT DETECTION
• Advanced Computer Vision and Deep Learning
Learn to apply deep learning architectures to computer vision tasks. Discover how to combine CNN and RNN networks to build an automatic image captioning application.
AUTOMATIC IMAGE CAPTIONING
• Object Tracking and Localization
Learn how to locate an object and track it over time. These techniques are used in a variety of moving systems, such as self-driving car navigation and drone flight.
LANDMARK DETECTION & TRACKING
Learn with the best
Sebastian Thrun, Cezanne Camacho, Alexis Cook, Juan Delgado, Jay Alammar, Ortal Arel, Luis Serrano
GET STARTED WITH
Computer Vision
LEARN
• Learn the essentials of computer vision, including image transformation, neural network architectures, and object recognition
AVERAGE TIME
• On average, successful students take null months to complete this program.
BENEFITS INCLUDE
• Real-world projects from industry experts
• Technical mentor support
• Personal career coach & career services
STAY SHARP WHILE STAYING IN
• Financial support available worldwide to help in this challenging time
• Spend your time at home learning new, higher-paying job skills
• Commit to a brighter future by learning today
Why should I enroll?
The demand for engineers with computer vision and deep learning skills far exceeds the current supply. This program offers a unique opportunity to develop these in-demand skills and is for anyone seeking to launch or advance their skills in modern computer vision techniques. You’ll complete several computer vision applications using a combination of Python, computer vision, and deep learning libraries that will serve as portfolio pieces that demonstrate the skills you’ve acquired.
Price $1077
More Info: Salepage
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General
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Complete name : 14. Nd113 C6 07 L The Integral Area Under A Curve H1 V2-Nhpvh2dolcE.mp4
Format : MPEG-4
Format profile : Base Media / Version 2
Codec ID : mp42 (isom/mp42)
File size : 5.69 MiB
Duration : 1 min 45 s
Overall bit rate mode : Variable
Overall bit rate : 454 kb/s
Encoded date : UTC 2018-03-08 12:16:16
Tagged date : UTC 2018-03-08 12:16:16
gsst : 0
gstd : 105231
Video
ID : 1
Format : AVC
Format/Info : Advanced Video Codec
Format profile : High@L3.1
Format settings : CABAC / 1 Ref Frames
Format settings, CABAC : Yes
Format settings, RefFrames : 1 frame
Format settings, GOP : M=1, N=60
Codec ID : avc1
Codec ID/Info : Advanced Video Coding
Duration : 1 min 45 s
Bit rate : 259 kb/s
Maximum bit rate : 1 801 kb/s
Width : 1 280 pixels
Height : 720 pixels
Display aspect ratio : 16:9
Frame rate mode : Constant
Frame rate : 29.970 (30000/1001) FPS
Color space : YUV
Chroma subsampling : 4:2:0
Bit depth : 8 bits
Scan type : Progressive
Bits/(Pixel*Frame) : 0.009
Stream size : 3.25 MiB (57%)
Tagged date : UTC 2018-03-08 12:16:17
Color range : Limited
Color primaries : BT.709
Transfer characteristics : BT.709
Matrix coefficients : BT.709
Audio
ID : 2
Format : AAC
Format/Info : Advanced Audio Codec
Format profile : LC
Codec ID : mp4a-40-2
Duration : 1 min 45 s
Bit rate mode : Variable
Bit rate : 192 kb/s
Maximum bit rate : 201 kb/s
Channel(s) : 2 channels
Channel positions : Front: L R
Sampling rate : 44.1 kHz
Frame rate : 43.066 FPS (1024 SPF)
Compression mode : Lossy
Stream size : 2.41 MiB (42%)
Title : IsoMedia File Produced by Google, 5-11-2011
Language : English
Encoded date : UTC 2018-03-08 12:16:16
Tagged date : UTC 2018-03-08 12:16:17
Screenshots
Udacity - Computer Vision Nanodegree v4.0.0 (07/2020)
Udacity - Computer Vision Nanodegree v4.0.0 (07/2020)
Udacity - Computer Vision Nanodegree v4.0.0 (07/2020)
Udacity - Computer Vision Nanodegree v4.0.0 (07/2020)
Udacity - Computer Vision Nanodegree v4.0.0 (07/2020)
Udacity - Computer Vision Nanodegree v4.0.0 (07/2020)
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Udacity - Computer Vision Nanodegree v4.0.0 (07/2020)
