The Roaring Twenties: a time to remember, building a static site with Gatsby.js that has absoluting nothing to do with F. Scott Fitzgerald, Jay Gatsby or the Twenties. Our static site can fix that… with the help of Netlify’s lambda functions and some static site plugins, we’ll have a little tribute page up and running in no time.
So you’ve watched the CameraX introduction at Google I/O 2019 and you saw all the cool image manipulation and face detection implemented in the demo apps. Then you worked through the CameraX CodeLab, but the analysis that they demonstrate in that app just calculates the luminosity. What if we want something a little flashier?
Learn more about what the Vue framework offers to build components that are easier to use and understand.
Keras is a favorite tool among many in Machine Learning. TensorFlow is even replacing their high level API with Keras come TensorFlow version 2. For those new to Keras. Keras is called a “front-end” api for machine learning. Using Keras you can swap out the “backend” between many frameworks in eluding TensorFlow, Theano, or CNTK officially.
Everyone can create a personal brand for his / her specific goals. How to create it, what to start with and how to promote it? We offer you to read this step-by-step guide, where you will find answers to all of these questions.
Wouldn’t it be nice if there was a simpler way to inflate our views? I’m glad to say that with a few recent AndroidX library updates, there is a simpler way.
We are going to dive into the convolution layer in this post. In particular we are going to dive into how filters work. Before we jump into this let us look at how data goes into a convolutional layer.
Amidst the various new features and tools announced at Google I/O 2019, Google placed significant emphasis on expanding upon and investing in accessibility within their products and services. Google unveiled exciting new features now available or coming soon to the Android ecosystem in an attempt to make technology more accessible and easy to use for everyone.