Monthly archives: September, 2019

2D to 3D Transformation

Now a days 3d transformation is required in neuroscience in order to visualize the material, even we are proceeding towards the cosmos and try to visualize the object in a 3d space. This article is based on the visualization technique. Lets take the example of a human face. With Deep Learning we have achieved a …

KNN: K-Nearest Neighbour

This is the story of a person found at JORDAN border, the country is surrounded by 5 neighbors, so how can we find the person belong to which country. KNN plays a vital role here, KNN is a algorithm which stores the whole model, i.e. it will never make any function. It will check the …

Tensorflow: Basics -I

Let us start with some basics of addition and multiplication program and represent them in a tensorboard. import tensorflow as tfx=tf.constant(1,name=’x’)m=tf.constant(2,name=’y’)z=tf.constant(3,name=’z’)prod=tf.multiply(x,m,name=’multiply’)add=tf.add(prod,z,name=’add’)with tf.Session() as sess: writer=tf.summary.FileWriter(logdir=’./graph’,graph=sess.graph) print(sess.run(add))Output is :5 Now, if we want to check the graph, we have to run following command in Linux(Note: I have used Kali linux), read different types of tensor in …