Deepfakes Series
Part1=>Part2=>Part3=>Part4
Finally, our last part of the series looks at detecting Deepfakes videos with machine learning (ML) and/or deep learning (DL).
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2.Join 👉@ComputerScience_MachineLearning
https://medium.com/@jonathan_hui/deepfakes-series-7138afb825cc
Part1=>Part2=>Part3=>Part4
Finally, our last part of the series looks at detecting Deepfakes videos with machine learning (ML) and/or deep learning (DL).
1.Join 👉@DeepLearning_ai
2.Join 👉@ComputerScience_MachineLearning
https://medium.com/@jonathan_hui/deepfakes-series-7138afb825cc
Medium
Deepfakes Series
“Deepfakes Series” is published by Jonathan Hui.
Image inpainting with OpenCV and Python
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https://www.pyimagesearch.com/2020/05/18/image-inpainting-with-opencv-and-python/
1.Join 👉@DeepLearning_ai
2.Join 👉@ComputerScience_MachineLearning
https://www.pyimagesearch.com/2020/05/18/image-inpainting-with-opencv-and-python/
Tesseract OCR: Text localization and detection
In this tutorial, you will learn how to utilize Tesseract to detect, localize, and OCR text, all within a single, efficient function call.
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2.Join 👉@ComputerScience_MachineLearning
https://www.pyimagesearch.com/2020/05/25/tesseract-ocr-text-localization-and-detection/
In this tutorial, you will learn how to utilize Tesseract to detect, localize, and OCR text, all within a single, efficient function call.
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2.Join 👉@ComputerScience_MachineLearning
https://www.pyimagesearch.com/2020/05/25/tesseract-ocr-text-localization-and-detection/
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2.Join: t.me/ComputerScience_MachineLearning
Paper:
https://arxiv.org/pdf/2005.12872.pdf
Github (source codes):
https://github.com/facebookresearch/detr
youtube source: (paper explained):
https://www.youtube.com/watch?v=T35ba_VXkMY
2.Join: t.me/ComputerScience_MachineLearning
Paper:
https://arxiv.org/pdf/2005.12872.pdf
Github (source codes):
https://github.com/facebookresearch/detr
youtube source: (paper explained):
https://www.youtube.com/watch?v=T35ba_VXkMY
WELCOME TO PYTORCH TUTORIALS
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2. t.me/ComputerScience_MachineLearning
3 .https://pytorch.org/tutorials/
1. t.me/DeepLearning_ai
2. t.me/ComputerScience_MachineLearning
3 .https://pytorch.org/tutorials/
The best FREE combined Computer Science curriculum
1. @DeepLearning_ai
2. https://laconicml.com/computer-science-curriculum/
1. @DeepLearning_ai
2. https://laconicml.com/computer-science-curriculum/
Laconic Machine Learning
FREE Computer Science Curriculum From The Best Universities and Companies In The World - Laconic Machine Learning
Many of you liked our articles about how to gain a Computer Science education from MIT University for FREE where we’ve created a Computer Science curriculum from free MIT courses and how to become a Certified Data Scientist at Harvard University for FREE…
Real time face recognition with Android + TensorFlow Lite
The impressive effect of having the state-of-the-art running on your hands
1. @DeepLearning_ai
2. https://medium.com/@estebanuri/real-time-face-recognition-with-android-tensorflow-lite-14e9c6cc53a5
The impressive effect of having the state-of-the-art running on your hands
1. @DeepLearning_ai
2. https://medium.com/@estebanuri/real-time-face-recognition-with-android-tensorflow-lite-14e9c6cc53a5
Medium
Real time face recognition with Android + TensorFlow Lite
The impressive effect of having the state-of-the-art running on your hands
Brett_Slatkin_Effective_Python_90_Specific_Ways_to_Write_Better.pdf
12.2 MB
Effective Python: 90 Specific Ways to Write Better Python (2nd Edition) (Effective Software Development Series)
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1. Join: @DeepLearning_ai
Deep-Learning-with-PyTorch.pdf
44.7 MB
DEEP LEARNING WITH PYTORCH
Deep Learning with PyTorch provides a detailed, hands-on introduction to building and training neural networks with PyTorch, a popular open source machine learning framework. This full book includes:
* Introduction to deep learning and the
* PyTorch library
* Pre-trained networks
* Tensors
* The mechanics of learning
* Using a neural network to fit data
* Using convolutions to generalize
* Real-world examples: Building a neural * network designed for cancer detection
* Deploying to production
1. Join: @DeepLearning_ai
Deep Learning with PyTorch provides a detailed, hands-on introduction to building and training neural networks with PyTorch, a popular open source machine learning framework. This full book includes:
* Introduction to deep learning and the
* PyTorch library
* Pre-trained networks
* Tensors
* The mechanics of learning
* Using a neural network to fit data
* Using convolutions to generalize
* Real-world examples: Building a neural * network designed for cancer detection
* Deploying to production
1. Join: @DeepLearning_ai
YOLOv5 is Here: State-of-the-Art Object Detection at 140 FPS
# [Tutorial] :https://blog.roboflow.ai/how-to-train-yolov5-on-a-custom-dataset/
# [Video] : https://www.youtube.com/watch?v=MdF6x6ZmLAY&feature=youtu.be
#[Repo] : https://github.com/ultralytics/yolov5
#[Colab Notebook] : https://colab.research.google.com/drive/1gDZ2xcTOgR39tGGs-EZ6i3RTs16wmzZQ
1. Join. @DeepLearning_ai
https://blog.roboflow.ai/yolov5-is-here/
# [Tutorial] :https://blog.roboflow.ai/how-to-train-yolov5-on-a-custom-dataset/
# [Video] : https://www.youtube.com/watch?v=MdF6x6ZmLAY&feature=youtu.be
#[Repo] : https://github.com/ultralytics/yolov5
#[Colab Notebook] : https://colab.research.google.com/drive/1gDZ2xcTOgR39tGGs-EZ6i3RTs16wmzZQ
1. Join. @DeepLearning_ai
https://blog.roboflow.ai/yolov5-is-here/
Roboflow Blog
How to Train YOLOv5 On a Custom Dataset
In this post, we will walk through how you can train YOLOv5 to recognize your custom objects for your custom use case.
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YOLOv5 is Here: State-of-the-Art Object Detection at 140 FPS
All 57 of our deep learning tutorials to support Keras/TensorFlow 2!
These tutorials are 100% free for you or anyone else in the world to access, read, and learn from — we never put our blog posts behind paywalls (unlike Medium blogs, for instance).
https://www.pyimagesearch.com/category/keras-and-tensorflow/
https://t.me/DeepLearning_ai
https://t.me/MachineLearning_Programming
These tutorials are 100% free for you or anyone else in the world to access, read, and learn from — we never put our blog posts behind paywalls (unlike Medium blogs, for instance).
https://www.pyimagesearch.com/category/keras-and-tensorflow/
https://t.me/DeepLearning_ai
https://t.me/MachineLearning_Programming
Image Object Detection — TensorFlow 2 Object Detection API
https://medium.com/swlh/image-object-detection-tensorflow-2-object-detection-api-af7244d4c34e
https://t.me/DeepLearning_ai
https://t.me/MachineLearning_Programming
https://medium.com/swlh/image-object-detection-tensorflow-2-object-detection-api-af7244d4c34e
https://t.me/DeepLearning_ai
https://t.me/MachineLearning_Programming
Medium
TensorFlow 2 — Object Detection on Custom Dataset with Object Detection API
Introduction
12 Papers You Should Read to Understand Object Detection in the Deep Learning Era
https://towardsdatascience.com/12-papers-you-should-read-to-understand-object-detection-in-the-deep-learning-era-3390d4a28891
👉https://t.me/DeepLearning_ai
https://towardsdatascience.com/12-papers-you-should-read-to-understand-object-detection-in-the-deep-learning-era-3390d4a28891
👉https://t.me/DeepLearning_ai
23 Amazing Deep Learning Project Ideas [Source Code Included]
https://data-flair.training/blogs/deep-learning-project-ideas/
👉https://t.me/DeepLearning_ai
https://data-flair.training/blogs/deep-learning-project-ideas/
👉https://t.me/DeepLearning_ai
DataFlair
23 Amazing Deep Learning Project Ideas [Source Code Included] - DataFlair
Work on amazing deep learning project ideas like image caption generator, human pose estimation, etc to enhance your skills & become expert
If you want to do some reading on machine learning and AI, then this is the right project for you. It has many Jupyter notebooks on the basics of deep learning and machine learning in Python.
https://github.com/ageron/handson-ml
👉https://t.me/DeepLearning_ai
https://github.com/ageron/handson-ml
👉https://t.me/DeepLearning_ai
GitHub
GitHub - ageron/handson-ml: ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead. - ageron/handson-ml
Using Flask to optimize performance with Mask R-CNN segmentation(with source code)
How to improve Mask R-CNN segmentation performance using a Flask web service.
https://medium.com/medialesson/using-flask-to-optimize-performance-with-mask-r-cnn-segmentation-39752f153029
👉https://t.me/DeepLearning_ai
How to improve Mask R-CNN segmentation performance using a Flask web service.
https://medium.com/medialesson/using-flask-to-optimize-performance-with-mask-r-cnn-segmentation-39752f153029
👉https://t.me/DeepLearning_ai
Medium
Using Flask to optimize performance with Mask R-CNN segmentation
How to improve Mask R-CNN segmentation performance using a Flask web service.
Bookshelf for Machine Learning, Deep Learning, and related topics
1. Machine Leaning and Deep Learning (50 books)
2. Python Books
3. Math Books for Machine Learning (19 books)
4. NLP Books(11 books)
5. Computer Vision (CV) Book
6. Reinforcement Learning Books
7. Speech Processing
8. cheatsheets
https://github.com/loveunk/Deep-learning-books
👉https://t.me/DeepLearning_ai
1. Machine Leaning and Deep Learning (50 books)
2. Python Books
3. Math Books for Machine Learning (19 books)
4. NLP Books(11 books)
5. Computer Vision (CV) Book
6. Reinforcement Learning Books
7. Speech Processing
8. cheatsheets
https://github.com/loveunk/Deep-learning-books
👉https://t.me/DeepLearning_ai