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.
Automate your build and deploy process with fastlane and CircleCI! We’ll build on our fastlane commands from Part 1 and show how to configure CircleCI to invoke them automatically.
Automate your build and deploy process with fastlane and CircleCI! In this first part, we’ll describe our current process and illustrate how we can reduce it down to a series of fastlane commands.
Recently my coworker Henry and I ran into the old issue of tests failing because the CI server’s time zone was different from ours. But we weren’t sure _why_ the tests were failing: we thought we had set up the tests to avoid time zone issues. Let’s walk through the process we used to find a fix–and more importantly, find out _why the fix works_.