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Tag: #deeplearning

AI helps blind and low vision people

25.01.2020

With use of Artificial Intelligence and Augmented Reality, US company Aira makes lifes of blind people easier. Aira is a service that makes the world instantly more accessible for visually impaired people. They are passionate about transforming daily life of people who are blind or low vision so they can fully Engage, Explore and Experience their world. Through an app on your smartphone, or through an optional pair of Horizon Smart Glasses, Aira delivers instant…
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#007 TF 2.0 An implementation of a Shallow Neural Network in tf.keras – Spirals dataset

20.01.2020

Highlights: In this post we will see how we can classify a spirals dataset with a shallow neural network implemented in TensorFlow 2.0. Tutorial Overview: Imports and Dataset preparation Building a Neural Network Visualization 1. Dataset: import and preparation Let’s start by importing libraries that we will need in our code. Last time we were using a function from sklearn to create a dataset. Now we are going to make our dataset from scratch. First,…
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#006 TF 2.0 An implementation of a Shallow Neural Network in tf.keras – Moons dataset

20.01.2020

In this post we will learn how to make a classification of Moons dataset with a shallow Neural network. The Neural Net we will implemented in TensorFlow 2.0 using Keras API. With the following code we are going to import all libraries that we will need. First, we will generate a random dataset, then we will split it into train and test set. We will also print dimensions of these datasets. With the following code…
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#005 TF 2.0 An implementation of a Shallow Neural Network with tf.keras – Circles dataset

20.01.2020

Highlights: In previous post we have talked about TensorFlow Wrappers and there we concluded that tf.keras is the most convenient way to build neural networks. Now we are going to implement one very simple network using this high-level API. Tutorial Overview: Imports and Dataset preparation Building a Neural Network Visualization 1. Imports and Dataset preparation Let’s start with basic imports. Don’t worry if some things are not familiar with all of these libraries, we will…
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#011 TF YOLO V3 Object Detection in TensorFlow 2.0

14.11.2019

YOU ONLY LOOK ONCE Highlights: Prior to Yolo majority of approaches for object detection tried to adapt the classifiers for the purpose of detection. In YOLO, an object detection has been framed as a regression problem to spatially separated bounding boxes and associated class probabilities. In this post we will learn about the YOLO Object Detection system, and how to implement such a system in TensorFlow 2.0. About Yolo:Our unified architecture is extremely fast. Our…
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