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Activation function
Different activation functions are used in the Neural Network (NN) architecture. The work of these activation functions is to activate only the specific neurons responsible for the final prediction. The use of the activation function is to add non-linearity to the NN. The activation can be used in the intermediate layers or at the end of the NN for prediction. The non-linear activation function helps to learn more complex features from the input. The linear activation functio
Nov 9, 20213 min read


GNN using PyTorch
Spektral is an easy library used to create graph neural network for graph classification. A graph is a mathematical object that represents relations between entities. We call the entities "nodes" and the relations "edges". Colab Code Run this code in colab to install spektral library. !pip install spektral Import all the neccessary packages needed import numpy as np import tensorflow as tf import spektral Datasets: We will be using Cora dataset. It contains 2708 scientif
Nov 9, 20212 min read


Structuring Machine learning Projects
Few ideas may arise after a few experiments on the deep learning projects for improving the performance of the model. Do I Collect more data Collect more diverse training set Train algorithm longer with gradient descent Try Adam instead of gradient descent Try bigger network Try smaller network Try dropout Add L2 regularisation Modify activation functions Change number of hidden units In this blog, we will try to make an effective environment that can help to quickly figure o
Nov 4, 20216 min read


Language Identification (LID)
Linear and logistic regression Linear Regression and Logistic Regression both are supervised Machine Learning algorithms. Linear...
Oct 26, 20213 min read


P0.1 Indian Face detection and recognition
Most of the work done in face recognition doesn’t work well on Indian faces. In this project, a quick approach is used for Indian face...
Oct 3, 20213 min read


CV-0.1 Starting with basic convolutional neural networks:
The eye is one of the sensors present in humans similar to our ears, nose, Tong, and skin for vision. Most of the inputs to these sensors...
Oct 2, 20212 min read


LSTM architecture
A neural network is highly motivated by the biological neural system. All the developed neural network algorithms are somehow related to...
Oct 2, 20212 min read


CV-0.0 Interpretation of the brain for computer vision
The human brain is an important part of visualization. The human brain contains approximately a hundred billion neurons and glia. Neurons...
Jun 10, 20213 min read


GDL-1.0 Foundation of Geometric deep learning
Euclid laid the foundation of geometry that existed for over 2000 years. With the help of few great scientists N. Lobachevsky, J. ...
Jun 10, 20212 min read


PY-2.0 Python OOPs concepts
Python Introduction Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level...
Jun 10, 20213 min read
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