Daily Archives: March 16, 2019
How to Configure the Number of Layers and Nodes in a Neural Network
Artificial neural networks have two main hyperparameters that control the architecture or topology of the network: the number of layers and the number of nodes in each hidden layer.
You must specify values for these parameters when configuring your network.
The most reliable way to configure these hyperparameters for your specific predictive modeling problem is via systematic experimentation with a robust test harness. Read More
Steve Jobs Stanford Commencement Speech 2005
The Top Cloud-Based AI Services (2018)
The major cloud providers have each rolled out a cloud-based AI service. We take a deep dive on the big players, whose AI services are markedly different from one another. Read More
AWS vs. Azure vs. Google: Cloud Comparison [2019 Update]
The three leading cloud computing vendors, AWS, Microsoft Azure and Google Cloud, each have their own strengths and weaknesses that make them ideal for different use cases. Read More
Choosing Your Deep Learning Infrastructure: The Cloud vs. On-Prem Debate
You’ve probably had some version of this debate numerous times: cloud or on-premise? Maybe you want to migrate some pieces of your application to the cloud. Alternatively, in light of recent privacy policy changes, maybe you want to move some customer data back on-prem. Read More
AI Trends 2018: Machine Learning as a Service (MLaaS)
n recent years driven by a major move into digital platforms and microservices. This shift has been made possible because of the cloud computing revolution, particularly the massive growth of public cloud services provided by enterprise companies such as Amazon, Microsoft and Google, among others. These enterprises have put an enormous emphasis on the “as a service” business model, which allows outside companies to pick and choose necessary microservices provided by the enterprises. Read More
Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI, IBM Watson
For most businesses, machine learning seems close to rocket science, appearing expensive and talent demanding. And, if you’re aiming at building another Netflix recommendation system, it really is. But the trend of making everything-as-a-service has affected this sophisticated sphere, too. You can jump-start an ML initiative without much investment, which would be the right move if you are new to data science and just want to grab the low hanging fruit. Read More
How computers learn to recognize objects instantly
The Chinese takeover of Indian app ecosystem
“TikTok is a Youtube killer.”
“Helo is giving ShareChat a tough time and has a higher chance of winning India market.”
“TikTok is like Instagram for India.”
“Bigo Live is a platform for companionship.”
For those trying to make sense of the Chinese dominance of the Indian app ecosystem, these are familiar statements. Yet, until about a year or a little more ago, these platforms and their Chinese parents were not heard of. Read More
Rick's Cafe AI 