Tag: Keras Deep Learning

In this post, we are going to learn about the Keras Sequential Model and how to use it to build our own deep neural network. If you are following this tutorial series, then this is going to be your first major step in deep learning with Keras. We will be using Keras deep learning to […] ...

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 […] ...

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 […] ...

Updated: April 8, 2020. You must have come across numerous tutorials to distinguish between cats and dogs using deep learning. Well, then this tutorial is going to be a bit different and a whole lot interesting. In this article, we too will be using deep learning with Keras and TensorFlow for image classification. But with […] ...