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What is an efficient training pipeline? Is it the one, that produces a model with the best accuracy? Or the one that runs the fastest? Or…

​How to Set Up Docker for Deep Learning on AWS

🔗 How to Set Up Docker for Deep Learning on AWS
Access GPUs inside a running container with nvidia-docker

​Ordinal and One-Hot Encodings for Categorical Data - Machine Learning Mastery

🔗 Ordinal and One-Hot Encodings for Categorical Data - Machine Learning Mastery
Machine learning models require all input and output variables to be numeric. This means that if your data contains categorical data, you must encode it to numbers before you can fit and evaluate a model. The two most popular techniques are an Ordinal Encoding and a One-Hot Encoding. In this tutorial, you will discover how to use encoding schemes for categorical machine learning

​A 12nm Programmable Convolution-Efficient Neural-Processing-Unit Chip Achieving 825TOPS

https://ieeexplore.ieee.org/document/9062984

🔗 7.2 A 12nm Programmable Convolution-Efficient Neural-Processing-Unit Chip Achieving 825TOPS - IEEE C
IEEE Xplore, delivering full text access to the world's highest quality technical literature in engineering and technology. | IEEE Xplore

​Quick Uncertainty Estimates for COVID19 Excess Mortality

🔗 Quick Uncertainty Estimates for COVID19 Excess Mortality
For a recent story The Economist has gathered large amounts of time series data to perform COVID “excess deaths” analysis per country.

​Linear Regression with PyTorch

🔗 Linear Regression with PyTorch
After reading this article you will have knowledge of how to implement linear regression with PyTorch Library with an example.

🎥 Случайный лес
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Запишетесь на полный курс Машинного обучения на Python по адресу support@ittensive.com

🎥 SIMPLIFY Data Analytics and Machine Learning Made Simple
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The main goal of the session is to showcase approaches that greatly simplify the work of a data analyst when performing data analytics, or when employing machine learning algorithms, over Big Data. The session will include presentations on

(a) How data analytics workflows can be easily and graphically composed, and then optimized for execution,

(b) How raw data with great variety can be easily queried using SQL interfaces, and

(c) How complex machine learning operations can be performed efficiently in di

🎥 Deep Learning Training in Trichy Part 10 | Artificial Neural Network |11 june 2020 |9789888424
👁 1 раз ⏳ 5478 сек.
Introduction to Deep Learning
Artificial Neural Network

contact details: 9789888424(Kaleel Ahamed)
Time : 6.30 am - 7.30 am (Indian Time)
Date and time : June 6th to June 14th 2020
Whats App-9789888424
Trainer : Irfan /Dinesh / Kaleel

Kindly use the below link to connect.
https://us04web.zoom.us/j/8301787301
Meeting id will be 8301787301

Join our What app group to get the regular updates:
https://chat.whatsapp.com/HfdRIm9lZm08uJvXHzis6C

DAY 1
Introduction to Deep Learning
Artificial Neural Network

DAY

​StyleGAN2: AI’s Imagination

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For better understanding of StyleGAN2s capabilities and how it works, we are going to use use them to generate images in different…

​Music genre analysis — Understanding emotions and topics in different genres

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Understanding the topics in different music genres and creating simple applications for predictions and recommendations

🎥 Simple way of learning Machine Learning, Artificial Neural Network, Deep Learning in Excel.
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I explained step by step how to calculate Artificial Neural Network forward and back propagation in Excel. You don't need any programming skill.
To understand easily I removed bias'es.
If you want to add bias, just add another neurons like the others with the value 1. To add a bias to the 3,4, 5 and 6. neurons:
2 neuron names may be: hb345=1;hb6=1;
Add weights with the names like wb3, wb4,wb5, wb6:
the inputs of hidden layer's neuron's equations should be like:
n3=h1*w13+h2*w23+hb345*wb3;
n4=h1*w14+h2*w24+

📃 Огромная библиотека DS книг-

Огромная библиотека DS книг- https://xn--r1a.website/datascienceiot Data Science t.me

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Video: Machine Learning Workshop: Hunting for Pulsars

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Video: Machine Learning with Scikit Learn Decoded | Python For Machine Learning | Edureka

📃 How to Use Poisson Distribution like You Know What You Are Doing

How to Use Poisson Distribution like You Know What You Are Doing How to Use Poisson Distribution like You Know What You Are Doing towardsdatascience.com

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Trending or Ranging Market? Using The Vertical Horizontal Filter in Trading. Trending or Ranging Market? Using The Vertical Horizontal Filter in Trading. medium.com

📃 Artificial Intelligence in Finance

Artificial Intelligence in Finance
Наш телеграм канал - https://xn--r1a.website/ai_machinelearning_big_data Machinelearning t.me
Doc: Artificial_Intelligence_in_Finance_A_Python-Based_Guide_by_Yves_Hilpisch_z-lib_org.pdf

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Fast convolutional neural networks on FPGAs with hls4ml
Github: https://github.com/fastmachinelearning/hls4ml
Paper: https://arxiv.org/abs/2101.05108v1
Documentation: https://fastmachinelearning.org/hls4ml/
Наш телеграм канал - https://xn--r1a.website/ai_machinelearning_big_data fastmachinelearning/hls4ml github.com

📃 Superpixel-based Refinement for Object Proposal Generation

Superpixel-based Refinement for Object Proposal Generation
Github: https://github.com/chwilms/superpixelRefinement
Paper: https://arxiv.org/abs/2101.04574v1 chwilms/superpixelRefinement github.com