One of the key ideas of word embeddings is a way of representing words that model automatically understand analogies like that “Man is the Woman as King is the Queen”.
TensorFlow Object Detection API to get image feature maps and a convolutional layer to find bounding boxes for recognized objects.
With TensorFlow Hub, you can build, share and reuse pieces of machine learning.
ItemDetails implementation provides the selection library with access to information about a specific RecyclerView item.
Transition API combine various signals like location and sensor data to determine when the user has started or ended an activity like walking or driving.
You need to create an async loader in your build function.It has a few parameters
I won’t go into too much detail about their background and how they work. I am using TensorFlow as a Machine Learning framework.
Binary files are sometimes easier to use because you don’t have to specify different directories for images and annotations.
In this post you will how to handle a variety of features, and then train and evaluate different types of models. We do that on a data set of cars.
Nearby Connections enables advertising and discovery of nearby devices, as well as high-bandwidth low-latency encrypted data transfers between these devices in a fully-offline P2P manner.