Transfer Learning and Data Augmentation applied to the Simpsons Image Dataset

Original Source Here Transfer Learning and Data Augmentation applied to the Simpsons Image Dataset Deep Learning application using Tensorflow and Keras 1. Introduction In the ideal scenario for Machine Learning (ML), there are abundant labeled training instances, which share the same distribution as the test data [1]. However, these data can be resource-intensive or unrealisticContinue reading “Transfer Learning and Data Augmentation applied to the Simpsons Image Dataset”

An in-depth EfficientNet tutorial using TensorFlow — How to use EfficientNet on a custom dataset.

https://cdn-images-1.medium.com/max/2600/0*LuOLJwetbCP4Z0Yw Original Source Here An in-depth EfficientNet tutorial using TensorFlow — How to use EfficientNet on a custom dataset. Training EfficientNet on a challenging Kaggle dataset using Tensorflow Photo by Sander Weeteling on Unsplash Convolutional Neural Networks (ConvNets) are commonly developed at a fixed resource budget, and then scaled up for better accuracy if moreContinue reading “An in-depth EfficientNet tutorial using TensorFlow — How to use EfficientNet on a custom dataset.”

From Patches to Slides: How to Train Deep Learning Models on Gigapixel Images With Weak Supervision

https://cdn-images-1.medium.com/max/1170/0*5AHX37QW2yEkbCLw Original Source Here From Patches to Slides: How to Train Deep Learning Models on Gigapixel Images With Weak Supervision A review of techniques for modeling whole slide histology images and recommendations for different situations. Whole slide histopathology images can be as large as 100,000 pixels across. Such massive images are both time-consuming and costlyContinue reading “From Patches to Slides: How to Train Deep Learning Models on Gigapixel Images With Weak Supervision”

5 machine learning essentials non-technical leaders need to understand

Original Source Here Snehal Kundalkar Contributor Snehal Kundalkar is the chief technology officer at Valence. She has been leading Silicon Valley firms for the last two decades, including work at Apple and Reddit. We’re living in a phenomenal moment for machine learning (ML), what Sonali Sambhus, head of developer and ML platform at Square, describesContinue reading “5 machine learning essentials non-technical leaders need to understand”

Apple adds two brand new Siri voices and will no longer default to a female voice in latest iOS

Original Source Here Apple is adding two new voices to Siri’s English offerings, and eliminating the default ‘female voice’ selection in the latest beta version of iOS. This means that every person setting up Siri will choose a voice for themselves and it will no longer default to the voice assistant being female, a topicContinue reading “Apple adds two brand new Siri voices and will no longer default to a female voice in latest iOS”

Cresta, which uses AI to mentor customer service agents in real time, raises $50M

https://venturebeat.com/wp-content/uploads/2021/03/Untitled-4.png?w=1229&strip=all Original Source Here Join Transform 2021 for the most important themes in enterprise AI & Data. Learn more. Cresta, an AI-powered platform that gives real-time support to help customer service agents respond to enquries on calls or in chats, has raised $50 million in a series B round of funding. The company’s latest investment,Continue reading “Cresta, which uses AI to mentor customer service agents in real time, raises $50M”

AI advances, but cat the law keep up?

Original Source Here Chapters: 0:00 Intro 2:21 Josh’s background 4:02 The pace of lawmaking 8:30 Law as a technology 10:06 Exponential curves of technological progress 14:20 The people who practice law 24:26 Evolving the language 35:28 Theory of language and ML 43:45 Compensation 56:52 Wrap-up Please find the transcript below: Jeremie (00:00):Hey everybody. Jeremie here.Continue reading “AI advances, but cat the law keep up?”

Cloud management startup Striim plans new integrations and streaming analytics with $50M funding

https://venturebeat.com/wp-content/uploads/2020/09/GettyImages-520682906.jpg?w=7240&strip=all Original Source Here Join Transform 2021 for the most important themes in enterprise AI & Data. Learn more. Striim, a startup specializing in streaming data integration, today closed a $50 million series C funding round led by Goldman Sachs Growth Equity. Striim founder and CTO Steve Wilkes says the funding will be used toContinue reading “Cloud management startup Striim plans new integrations and streaming analytics with $50M funding”

Python loops: A comprehensive guide

https://cdn-images-1.medium.com/max/2600/0*sCgqwr7Oz7ub-9g9 Original Source Here Looping over lists Looping over a list is quite straightforward. You are given a list of values and asked to do something with each item. Let’s say you have: my_list = [1,2,3,4] And you are asked to compute the square of each value in the list: for each_value in my_list: print(each_valueContinue reading “Python loops: A comprehensive guide”