Everything You Need to Know About Autoencoders in TensorFlow
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.https://towardsdatascience.com/everything-you-need-to-know-about-autoencoders-in-tensorflow-b6a63e8255f0
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.https://towardsdatascience.com/everything-you-need-to-know-about-autoencoders-in-tensorflow-b6a63e8255f0
Medium
Everything You Need to Know About Autoencoders in TensorFlow
From theory to implementation in TensorFlow
2D or 3D? A Simple Comparison of Convolutional Neural Networks for Automatic Segmentation of Cardiac Imaging
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.https://towardsdatascience.com/2d-or-3d-a-simple-comparison-of-convolutional-neural-networks-for-automatic-segmentation-of-625308f52aa7
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.https://towardsdatascience.com/2d-or-3d-a-simple-comparison-of-convolutional-neural-networks-for-automatic-segmentation-of-625308f52aa7
Medium
2D or 3D? A Simple Comparison of Convolutional Neural Networks for Automatic Segmentation of Cardiac Imaging
Convolutional neural networks (CNNs) have shown promise for a multitude of computer vision tasks. Among these applications is automatic…
Deepfakes, FaceGANS, and Synthetic Data: Welcome to the Reality Illusion of 2020
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.https://medium.com/swlh/deepfakes-facegans-and-the-rise-of-synthetic-data-welcome-to-2020-a54b88eecdf9
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.https://medium.com/swlh/deepfakes-facegans-and-the-rise-of-synthetic-data-welcome-to-2020-a54b88eecdf9
Medium
Deepfakes, FaceGANS, and Synthetic Data: Welcome to the Reality Illusion of 2020
Two weeks ago, I attended CVPR, the world’s largest international artificial intelligence conference on computer vision to date. Aside…
The 5 Feature Selection Algorithms every Data Scientist should know
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.https://towardsdatascience.com/the-5-feature-selection-algorithms-every-data-scientist-need-to-know-3a6b566efd2
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.https://towardsdatascience.com/the-5-feature-selection-algorithms-every-data-scientist-need-to-know-3a6b566efd2
The project is about predicting coronary heart disease by using three different ML algorithms
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https://blog.goodaudience.com/heart-disease-prediction-aa656f2db585
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https://blog.goodaudience.com/heart-disease-prediction-aa656f2db585
Medium
heart disease prediction
The project is about predicting coronary heart disease by using three different ML algorithms.
Review: G-RMI — Winner in 2016 COCO Detection (Object Detection)
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.https://towardsdatascience.com/review-g-rmi-winner-in-2016-coco-detection-object-detection-af3f2eaf87e4
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.https://towardsdatascience.com/review-g-rmi-winner-in-2016-coco-detection-object-detection-af3f2eaf87e4
Medium
Review: G-RMI — Winner in 2016 COCO Detection (Object Detection)
A Guide to Select a Detection Architecture: Faster R-CNN, R-FCN and SSD
Review: FSRCNN (Super Resolution)
What Are Covered
1. Brief Review of SRCNNFSRCNN Network
2. ArchitectureExplanation of 1×1 Convolution Used in
3. Shrinking and Expanding
4. Explanation of Multiple 3×3 Convolutions in Non-Linear Mapping
5. Ablation Study
6. Results
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.https://towardsdatascience.com/review-fsrcnn-super-resolution-80ca2ee14da4
What Are Covered
1. Brief Review of SRCNNFSRCNN Network
2. ArchitectureExplanation of 1×1 Convolution Used in
3. Shrinking and Expanding
4. Explanation of Multiple 3×3 Convolutions in Non-Linear Mapping
5. Ablation Study
6. Results
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.https://towardsdatascience.com/review-fsrcnn-super-resolution-80ca2ee14da4
Medium
Review: FSRCNN (Super Resolution)
This time, FSRCNN, by CUHK, is reviewed. In this paper, a real-time super resolution approach is proposed. Fast Super-Resolution…
How to Deal with Imbalanced Data using SMOTE - Analytics Vidhya - Medium
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.https://medium.com/analytics-vidhya/balance-your-data-using-smote-98e4d79fcddb
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.https://medium.com/analytics-vidhya/balance-your-data-using-smote-98e4d79fcddb
Medium
How to Deal with Imbalanced Data using SMOTE
With a Case Study in Python
Python Implementation of Andrew Ng’s Machine Learning Course (Part 1)
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.https://medium.com/analytics-vidhya/python-implementation-of-andrew-ngs-machine-learning-course-part-1-6b8dd1c73d80
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.https://medium.com/analytics-vidhya/python-implementation-of-andrew-ngs-machine-learning-course-part-1-6b8dd1c73d80
Medium
Python Implementation of Andrew Ng’s Machine Learning Course (Part 1)
A few months ago I had the opportunity to complete Andrew Ng’s Machine Learning MOOC taught on Coursera. It serves as a very good…
Automatically finding the best Neural Network for your GAN
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.https://towardsdatascience.com/automatically-finding-the-best-neural-network-for-your-gan-c0b97a5949f2
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.https://towardsdatascience.com/automatically-finding-the-best-neural-network-for-your-gan-c0b97a5949f2
Medium
Automatically finding the best Neural Network for your GAN
Generative Adversarial Networks (GANs) have been a hot topic in Deep Learning ever since their initial invention and publication at NIPS…
Vid2Vid — Conditional GANs for Video-to-Video Synthesis
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.https://neurohive.io/en/state-of-the-art/vid2vid-conditional-gans-for-video-to-video-synthesis/
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.https://neurohive.io/en/state-of-the-art/vid2vid-conditional-gans-for-video-to-video-synthesis/
neurohive.io
Vid2Vid Explaination - Conditional GANs for Video-to-Video Synthesis
Vid2Vid is able to synthesize high-resolution, temporally coherent videos on a diverse set of input formats including segmentation masks, sketches, poses.
Python Projects with Source Code - Practice Top Projects in Python - DataFlair
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.https://data-flair.training/blogs/python-projects-with-source-code/
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.https://data-flair.training/blogs/python-projects-with-source-code/
DataFlair
100+ Python Projects with Source Code - DataFlair
Python projects with source code - Work on the top Python projects to gain practical exposure and become a Python professional.
100 Free Data Science Books
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.https://www.learndatasci.com/free-data-science-books/
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.https://www.learndatasci.com/free-data-science-books/
Learndatasci
100+ Free Data Science Books
High energy: Facebook's AI guru LeCun imagines AI's next frontier
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.https://www.zdnet.com/google-amp/article/high-energy-facebooks-ai-guru-lecun-imagines-ais-next-frontier/?fbclid=IwAR1fnUHFVFeDyPNJI3SGZuSnvJrhJ0qrdOXMkaK14phkI5wcENDZixps5vw
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.https://www.zdnet.com/google-amp/article/high-energy-facebooks-ai-guru-lecun-imagines-ais-next-frontier/?fbclid=IwAR1fnUHFVFeDyPNJI3SGZuSnvJrhJ0qrdOXMkaK14phkI5wcENDZixps5vw
ZDNET
High energy: Facebook's AI guru LeCun imagines AI's next frontier
The next evolution in artificial intelligence may be a matter of dispensing with all the probabilistic tricks of deep learning, mastering instead a manifold of shifting energy values, according to deep learning's pied piper, Yann LeCun.
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The 5 Algorithms for Efficient Deep Learning Inference on Small Devices
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.https://heartbeat.fritz.ai/the-5-algorithms-for-efficient-deep-learning-inference-on-small-devices-bcc2d18aa806
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.https://heartbeat.fritz.ai/the-5-algorithms-for-efficient-deep-learning-inference-on-small-devices-bcc2d18aa806
Medium
The 5 Algorithms for Efficient Deep Learning Inference on Small Devices
Pruning, compression, quantization, and more
List of Top Blogs on Artificial Intelligence
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1. Machine Learning Mastery by Jason Brownlee
https://machinelearningmastery.com/about/
2.Adrian Rosebrock
https://www.pyimagesearch.com/
3. AI Trends
https://www.aitrends.com/
4. Algorithmia
https://blog.algorithmia.com/
5. AITopics (An official publication of the AAAI.)
https://aitopics.org/search
6. Open AI
https://openai.com/
7. MIT AI Blog
http://news.mit.edu/topic/artificial-intelligence2
8. Andreessen Horowitz
http://aiplaybook.a16z.com/docs/intro/getting-started
9. C T Vision
https://ctovision.com/
10. Chatbots Magazine (The #1 place to learn about chatbots.)
https://chatbotsmagazine.com/
11. Machine Intelligence Research Institute (MIRI)
https://intelligence.org/blog/
12. Chatbots Life
(Best Place to Learn About Bots)
https://chatbotslife.com/
13. 33 rd square
https://www.33rdsquare.com/
14. Artificial Intelligence Blogs
https://www.artificial-intelligence.blog/news/
15. Machine Learnings
https://machinelearnings.co/
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@DeepLearning_AI
1. Machine Learning Mastery by Jason Brownlee
https://machinelearningmastery.com/about/
2.Adrian Rosebrock
https://www.pyimagesearch.com/
3. AI Trends
https://www.aitrends.com/
4. Algorithmia
https://blog.algorithmia.com/
5. AITopics (An official publication of the AAAI.)
https://aitopics.org/search
6. Open AI
https://openai.com/
7. MIT AI Blog
http://news.mit.edu/topic/artificial-intelligence2
8. Andreessen Horowitz
http://aiplaybook.a16z.com/docs/intro/getting-started
9. C T Vision
https://ctovision.com/
10. Chatbots Magazine (The #1 place to learn about chatbots.)
https://chatbotsmagazine.com/
11. Machine Intelligence Research Institute (MIRI)
https://intelligence.org/blog/
12. Chatbots Life
(Best Place to Learn About Bots)
https://chatbotslife.com/
13. 33 rd square
https://www.33rdsquare.com/
14. Artificial Intelligence Blogs
https://www.artificial-intelligence.blog/news/
15. Machine Learnings
https://machinelearnings.co/
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