The Best Machine Learning Research of 2019 So Far - ODSC - Open Data Science - Medium
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.https://medium.com/@ODSC/the-best-machine-learning-research-of-2019-so-far-954120947794
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.https://medium.com/@ODSC/the-best-machine-learning-research-of-2019-so-far-954120947794
Medium
The Best Machine Learning Research of 2019 So Far
The uses of machine learning are expanding rapidly. Already in 2019, significant research has been done in exploring new vistas for the use…
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 the rise of Synthetic Data: Welcome to 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
Towards Data Science
Beginner's guide for feature selection | Towards Data Science
Different methods for feature selection and why should anyone bother for feature selection; by comparing different approaches for selecting
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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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
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
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
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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
Fritz ai
The 5 Algorithms for Efficient Deep Learning Inference on Small Devices - Fritz ai
With recent developments in deep learning, neural networks are getting larger and larger. For example, in the ImageNet recognition challenge, the winning model, from 2012 to 2015, increased in size by 16 times. And in just one year, for Baidu’s… Continue…