Download Linkedin - Computer Vision on the Raspberry Pi 4 Torrent

Torrent Contents Size: 285.7 MB

Linkedin - Computer Vision on the Raspberry Pi 4

▼ show more 47 files

Bonus Resources.txt	TXT	307.2 B
Get Bonus Downloads Here.url	URL	204.8 B
[1] Computing image gradients.mp4	MP4	8.5 MB
[1] Computing image gradients.srt	SRT	5.7 KB
[1] Getting started with computer vision.mp4	MP4	4.3 MB
[1] Getting started with computer vision.srt	SRT	1.5 KB
[1] Introducing OpenCV.mp4	MP4	9.4 MB
[1] Introducing OpenCV.srt	SRT	6.8 KB
[1] Introducing convolutional neural networks (CNNs).mp4	MP4	9.7 MB
[1] Introducing convolutional neural networks (CNNs).srt	SRT	6.3 KB
[1] Introducing neural networks.mp4	MP4	11.3 MB
[1] Introducing neural networks.srt	SRT	6.5 KB
[1] Introducing the Raspberry Pi 4.mp4	MP4	9.8 MB
[1] Introducing the Raspberry Pi 4.srt	SRT	5.7 KB
[1] Introducing the picamera package.mp4	MP4	6.6 MB
[1] Introducing the picamera package.srt	SRT	5.1 KB
[1] Next steps.mp4	MP4	3 MB
[1] Next steps.srt	SRT	2.4 KB
[2] Accessing a Raspberry Pi camera in Python.mp4	MP4	6.8 MB
[2] Accessing a Raspberry Pi camera in Python.srt	SRT	4.4 KB
[2] Creating CNNs with Keras.mp4	MP4	10.8 MB
[2] Creating CNNs with Keras.srt	SRT	5.6 KB
[2] Forming histograms of gradients (HOGs).mp4	MP4	12.1 MB
[2] Forming histograms of gradients (HOGs).srt	SRT	6.5 KB
[2] NumPy array operations.mp4	MP4	8.1 MB
[2] NumPy array operations.srt	SRT	6.1 KB
[2] Setting up the environment.mp4	MP4	12.5 MB
[2] Setting up the environment.srt	SRT	6 KB
[2] Training neural networks.mp4	MP4	10.7 MB
[2] Training neural networks.srt	SRT	6.4 KB
[2] What you should know.mp4	MP4	2.7 MB
[2] What you should know.srt	SRT	1.4 KB
[3] Computing HOGs in OpenCV.mp4	MP4	10.2 MB
[3] Computing HOGs in OpenCV.srt	SRT	6.5 KB
[3] Creating neural networks in OpenCV.mp4	MP4	8.8 MB
[3] Creating neural networks in OpenCV.srt	SRT	5.3 KB
[3] Object detection with a Raspberry Pi camera.mp4	MP4	15.4 MB
[3] Object detection with a Raspberry Pi camera.srt	SRT	6.6 KB
[3] Running a simple image processing example.mp4	MP4	13.3 MB
[3] Running a simple image processing example.srt	SRT	6 KB
[3] Training CNNs with TensorFlow.mp4	MP4	12.5 MB
[3] Training CNNs with TensorFlow.srt	SRT	4.9 KB
[3] Using the Thonny IDE.mp4	MP4	5.5 MB
[3] Using the Thonny IDE.srt	SRT	3.7 KB
[3] Using the exercise files.mp4	MP4	5.8 MB
[3] Using the exercise files.srt	SRT	3.2 KB
[4] Classifying irises with a neural network.mp4	MP4	9.9 MB
[4] Classifying irises with a neural network.srt	SRT	2.8 KB
[4] Executing models with TensorFlow Lite.mp4	MP4	5.2 MB
[4] Executing models with TensorFlow Lite.srt	SRT	4.7 KB
[4] Object recognition with a Raspberry Pi camera.mp4	MP4	14.4 MB
[4] Object recognition with a Raspberry Pi camera.srt	SRT	6.3 KB
[4] Theory of convolution.mp4	MP4	10 MB
[4] Theory of convolution.srt	SRT	6.3 KB
[4] Understanding Support Vector Machines (SVMs).mp4	MP4	13.2 MB
[4] Understanding Support Vector Machines (SVMs).srt	SRT	8 KB
[5] Convolution in OpenCV.mp4	MP4	12.5 MB
[5] Convolution in OpenCV.srt	SRT	6.4 KB
[5] Detecting objects with HOGs and SVMs.mp4	MP4	11.7 MB
[5] Detecting objects with HOGs and SVMs.srt	SRT	5.9 KB
[5] Recognizing objects with the Raspberry Pi.mp4	MP4	10.6 MB
[5] Recognizing objects with the Raspberry Pi.srt	SRT	5.2 KB

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Linkedin - Computer Vision on the Raspberry Pi 4

Torrent Contents Size: 285.7 MB

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