Keras makes approaching deep learning easy, especially for those who are just starting out. In this article, we will learn some of the most important features and functions of Keras along with the Sequential API. This is the second part of the series Introduction to Keras Deep Learning.Part 1: Getting Started with Keras.Part 2: Learning about […] ...

Starting to learn deep learning can be a really intimidating task. Most people start with traditional machine learning with Scikit-Learn. Then they slowly start to move towards deep learning trying to implement whatever they have learned. Again, many of them start with TensorFlow directly. But it can be really difficult when using only TensorFlow in […] ...

Preparing data for deep learning is one of the most important steps. Deep neural networks need a lot of data most of the time. Perhaps, this is one of the drawbacks when using deep learning to solve a problem. There are many solutions out there to tackle this situation. But what if we do not […] ...

Updated on 21 April, 2020. LeNet – 5 is a great way to start learning practical approaches of Convolutional Neural Networks and computer vision. The LeNet – 5 architecture was introduced by Yann LeCun, Leon Bottou, Yoshua Bengio and Patrick Haffner in 1998. This architecture quickly became popular for recognizing handwritten digits and document recognition. […] ...

Computer Vision and Deep Learning together have given some novel solutions to many of the real world problems. And automatic traffic sign recognition is one of them. Recognizing traffic signs is one of the most important aspects when considering road safety and automated driving. Manual detection, classification, and hard coding are not possible when visualizing […] ...