INTRODUCTION This article exemplify (explain) Convolutional Neural Network/ConvNet in a simple way. In this, in addition to ConvNet readers will study basics of neural network, input, hidden and output nodes, feed forward neural network and back-propagation algorithm. Once the base for these terminology is clear,
INTRODUCTION This article clearly focuses on read, write and display video frames with OpenCV-python. The important words for this article are OpenCV, Python and Video. We will also look into deeper about Frame Per Second, VideoCapture Object and will try to keep your interest in the
INTRODUCTION An image is considered as a matrix of range of values from 0 to 255 (uint8) which are called as pixels. Moreover, if you have an image of high bit depth, more color combinations are available and range of pixel values will vary. For
INTRODUCTION This blog aims at knowing about digital images, types of images and throwing some light on computer vision and digital image processing. This blog is very useful for those who are pursuing their research in computer vision especially in image processing. In this blog,
Introduction In this Tutorial we will how to create a model using tensorflow. We will also learn to create Saver to manage all variables in the model. You will also come to know the use case of placeholder, Variable, tensordot, tf.global_variables_initializer(). In the restoring phase