Python | Reading contents of PDF using OCR (Optical Character Recognition)
Наш телеграм канал - tglink.me/ai_machinelearning_big_data
https://www.geeksforgeeks.org/python-reading-contents-of-pdf-using-ocr-optical-character-recognition/
🔗 Python | Reading contents of PDF using OCR (Optical Character Recognition) - GeeksforGeeks
Python is widely used for analyzing the data but the data need not be in the required format always. In such cases, we convert that… Read More »
Наш телеграм канал - tglink.me/ai_machinelearning_big_data
https://www.geeksforgeeks.org/python-reading-contents-of-pdf-using-ocr-optical-character-recognition/
🔗 Python | Reading contents of PDF using OCR (Optical Character Recognition) - GeeksforGeeks
Python is widely used for analyzing the data but the data need not be in the required format always. In such cases, we convert that… Read More »
GeeksforGeeks
Python | Reading contents of PDF using OCR (Optical Character Recognition) - GeeksforGeeks
A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions.
Наш телеграм канал - tglink.me/ai_machinelearning_big_data
🎥 Toward Unsupervised Learning of Speech Representations
👁 10 раз ⏳ 2828 сек.
🎥 Toward Unsupervised Learning of Speech Representations
👁 10 раз ⏳ 2828 сек.
In this presentation, I first introduce unsupervised/self-supervised learning. Then, I describe some of my recent works that aim to learn general and robust self-supervised speech representations.Vk
Toward Unsupervised Learning of Speech Representations
In this presentation, I first introduce unsupervised/self-supervised learning. Then, I describe some of my recent works that aim to learn general and robust self-supervised speech representations.
🎥 OpenAI Five Beats World Champion DOTA2 Team 2-0
👁 7 раз ⏳ 691 сек.
👁 7 раз ⏳ 691 сек.
Check out Lambda Labs here: https://lambdalabs.com/papers
OpenAI's blog post: https://openai.com/blog/openai-five-finals/
Reddit AMA: https://old.reddit.com/r/DotA2/comments/bf49yk/hello_were_the_dev_team_behind_openai_five_we/
Reddit discussion on buybacks: https://old.reddit.com/r/DotA2/comments/bcx8cf/i_think_the_openai_games_revealed_an_invisible/
🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible:
313V, Alex Haro, Andrew Melnychuk, Angelos Evripiotis, AnthonyVk
OpenAI Five Beats World Champion DOTA2 Team 2-0
Check out Lambda Labs here: https://lambdalabs.com/papers
OpenAI's blog post: https://openai.com/blog/openai-five-finals/
Reddit AMA: https://old.reddit.com/r/DotA2/comments/bf49yk/hello_were_the_dev_team_behind_openai_five_we/
Reddit discussion on buybacks:…
OpenAI's blog post: https://openai.com/blog/openai-five-finals/
Reddit AMA: https://old.reddit.com/r/DotA2/comments/bf49yk/hello_were_the_dev_team_behind_openai_five_we/
Reddit discussion on buybacks:…
🎥 Tensorflow | SciPy Japan 2019 Tutorial | Josh Gordon, Amit Patankar
👁 1 раз ⏳ 7333 сек.
👁 1 раз ⏳ 7333 сек.
A hands-on introduction to TensorFlow 2.0. In this 3.5 hour tutorial, we will briefly introduce TensorFlow, then dive in to training neural networks. This tutorial is targeted at folks new to TensorFlow, and/or Deep Learning. Our goal is to help attendees get started efficiently and effectively, so they can continue learning on your own. Attendees will need a laptop with an internet connection, there is nothing to install in advance.
Prerequisites: Prior machine learning experience is not assumed. We will dVk
Tensorflow | SciPy Japan 2019 Tutorial | Josh Gordon, Amit Patankar
A hands-on introduction to TensorFlow 2.0. In this 3.5 hour tutorial, we will briefly introduce TensorFlow, then dive in to training neural networks. This tutorial is targeted at folks new to TensorFlow, and/or Deep Learning. Our goal is to help attendees…
TensorFlow Model Optimization Toolkit — Pruning API
🔗 TensorFlow Model Optimization Toolkit — Pruning API
Since we introduced the Model Optimization Toolkit — a suite of techniques that developers, both novice and advanced, can use to optimize…
🔗 TensorFlow Model Optimization Toolkit — Pruning API
Since we introduced the Model Optimization Toolkit — a suite of techniques that developers, both novice and advanced, can use to optimize…
Medium
TensorFlow Model Optimization Toolkit — Pruning API
Since we introduced the Model Optimization Toolkit — a suite of techniques that developers, both novice and advanced, can use to optimize…
🎥 The Pattern Machine (What is Deep Learning?)
👁 1 раз ⏳ 650 сек.
👁 1 раз ⏳ 650 сек.
Part 1 of a series on Artificial Intelligence. Introduces the field of Deep Learning and the idea of distributed representations. The next videos will go deeper...Vk
The Pattern Machine (What is Deep Learning?)
Part 1 of a series on Artificial Intelligence. Introduces the field of Deep Learning and the idea of distributed representations. The next videos will go deeper...
The Binary Extremes of Daenerys Targaryen
https://towardsdatascience.com/the-binary-extremes-of-daenerys-targaryen-1c89502de92d
🔗 The Binary Extremes of Daenerys Targaryen
(Or should I say… “The Binary ExTREEmes”?)
https://towardsdatascience.com/the-binary-extremes-of-daenerys-targaryen-1c89502de92d
🔗 The Binary Extremes of Daenerys Targaryen
(Or should I say… “The Binary ExTREEmes”?)
Towards Data Science
The Binary Extremes of Daenerys Targaryen
(Or should I say… “The Binary ExTREEmes”?)
Geometric Deep Learning for Pose Estimation
🔗 Geometric Deep Learning for Pose Estimation
Theory and Pytorch Implementation Tutorial to find Object Pose from Single Monocular Image
🔗 Geometric Deep Learning for Pose Estimation
Theory and Pytorch Implementation Tutorial to find Object Pose from Single Monocular Image
Medium
Geometric Deep Learning for Pose Estimation
Theory and Pytorch Implementation Tutorial to find Object Pose from Single Monocular Image
🎥 Deep Web: A Web Cmdlets Deep Dive by Mark Kraus
👁 1 раз ⏳ 5136 сек.
👁 1 раз ⏳ 5136 сек.
With many IT processes moving to REST based APIs and our ever increasing reliance on websites to do our jobs as developers and operators, never has there been a time more critical for learning all there is to know as much as possible about the Web Cmdlets. Invoke-WebRequest is like a web browser in your PowerShell console and Invoke-RestMethod converts a remote API endpoint into a PowerShell object.
Go beyond the -Uri parameter and explore the rich and numerous features of these Cmdlets. Learn what sessionVk
Deep Web: A Web Cmdlets Deep Dive by Mark Kraus
With many IT processes moving to REST based APIs and our ever increasing reliance on websites to do our jobs as developers and operators, never has there been a time more critical for learning all there is to know as much as possible about the Web Cmdlets.…
🎥 Machine Learning Part 18: Boosting Algorithms — Gradient Boosting In Python
👁 1 раз ⏳ 670 сек.
👁 1 раз ⏳ 670 сек.
In this video, we walk through the gradient boosting algorithm and implement it in Python.
CONNECT
Site: https://coryjmaklin.com/
Medium: https://medium.com/@corymaklin
GitHub: https://github.com/corymaklin
Twitter: https://twitter.com/CoryMaklin
Linkedin: https://www.linkedin.com/in/cory-maklin-a51732b7/
Facebook: https://www.facebook.com/cory.maklin
Patreon: https://www.patreon.com/corymaklinVk
Machine Learning Part 18: Boosting Algorithms — Gradient Boosting In Python
In this video, we walk through the gradient boosting algorithm and implement it in Python. CONNECT Site: https://coryjmaklin.com/ Medium: https://medium.com/@corymaklin GitHub: https://github.com/corymaklin Twitter: https://twitter.com/CoryMaklin Linkedin:…
DeepFool — A simple and accurate method to fool deep Neural Networks.
🔗 DeepFool — A simple and accurate method to fool deep Neural Networks.
An Adversarial Attack
🔗 DeepFool — A simple and accurate method to fool deep Neural Networks.
An Adversarial Attack
Towards Data Science
DeepFool — A simple and accurate method to fool Deep Neural Networks.
An Adversarial Attack
Deep Compressed Sensing
https://arxiv.org/pdf/1905.06723.pdf
https://arxiv.org/pdf/1905.06723.pdf
Precision and Recall Trade-off and Multiple Hypothesis Testing
🔗 Precision and Recall Trade-off and Multiple Hypothesis Testing
Family-wise error rate (FWE) vs False discovery rate (FDR)
🔗 Precision and Recall Trade-off and Multiple Hypothesis Testing
Family-wise error rate (FWE) vs False discovery rate (FDR)
Towards Data Science
Precision and Recall Trade-off and Multiple Hypothesis Testing
Family-wise error rate (FWE) vs False discovery rate (FDR)
The Almighty Policy Gradient in Reinforcement Learning
🔗 The Almighty Policy Gradient in Reinforcement Learning
A simple step by step explanation to the concept of policy gradients and how they fit into reinforcement learning. Maybe too simple.
🔗 The Almighty Policy Gradient in Reinforcement Learning
A simple step by step explanation to the concept of policy gradients and how they fit into reinforcement learning. Maybe too simple.
Towards Data Science
The Almighty Policy Gradient in Reinforcement Learning
A simple step by step explanation to the concept of policy gradients and how they fit into reinforcement learning. Maybe too simple.
ML Approaches for Time Series
🔗 ML Approaches for Time Series
In this post I play around with some Machine Learning techniques to analyze time series data and explore their potential use in this case…
🔗 ML Approaches for Time Series
In this post I play around with some Machine Learning techniques to analyze time series data and explore their potential use in this case…
Towards Data Science
ML Approaches for Time Series
In this post I play around with some Machine Learning techniques to analyze time series data and explore their potential use in this case…
🎥 Statistics And Probability Tutorial | Statistics And Probability for Data Science | Edureka
👁 1 раз ⏳ 5815 сек.
👁 1 раз ⏳ 5815 сек.
** Data Science Certification using R: https://www.edureka.co/data-science **
This session on Statistics And Probability will cover all the fundamentals of stats and probability along with a practical demonstration in the R language. The following topics are covered in this session:
3:23 What Is Data?
4:17 Categories Of Data
9:01 What Is Statistics?
11:20 Basic Terminologies In Statistics
12:35 Sampling Techniques
17:46 Types Of Statistics
20:22 Descriptive Statistics
21:25 Measures Of Centre
25:40 MeasureVk
Statistics And Probability Tutorial | Statistics And Probability for Data Science | Edureka
** Data Science Certification using R: https://www.edureka.co/data-science **
This session on Statistics And Probability will cover all the fundamentals of stats and probability along with a practical demonstration in the R language. The following topics…
This session on Statistics And Probability will cover all the fundamentals of stats and probability along with a practical demonstration in the R language. The following topics…