Linear Algebra
Linear algebra provides a way of compactly representing and operating on sets of linear equations. For example, consider the following system of equations:
Machine Learning Posts by Tags
2018
Chat bot Using seq2seq model with Attention
Chatbot using seq2seq with attention
Bayesian Deep Learning
Bayesian Deep Learning
Word2vec for Embedding
Word embedding is one of the most popular representation of document vocabulary. . Rather than build a sparse representation with One hot encoding we can bui...
Variational Auto Encoder
A variational autoencoder (VAE) provides a probabilistic manner for describing an observation in latent space. Thus, rather than building an encoder which ou...
Unit Testing
Unit Testing
Statistical Machine Learning
Machine learning algorithms build a mathematical model of sample data, known as “training data”, in order to make predictions or decisions without being expl...
Single Shot Detection
Single Shot MultiBox Detector Along with object detection we also want to localize and classify each element within our field of view. The previous architect...
Scale-Invariant Feature Transform (SIFT) for feature points in Images
The scale-invariant feature transform (SIFT) is a feature detection algorithm in computer vision to detect and describe local features in images created vy ...
Resnet for Image Classification
Resnet Introduction
Python Quick Reference
Data types
Python Data Structures
#Number Representation in Computer
Probability
Probability
Naive Bayes Classifier
#Naive Bayes Simple(“naive”) classifica1on method based on Bayes rule. It relies on very simple representa1on of document called the bag of words.
Memory Networks for Question answering
Dynamic Memory Networks
Post Quantum encryption based on Lattices
In the last four decades, many widely used public key cryptographic schemes have been designed based on the difficulty of factoring and other similar problem...
DCGAN
Generative Adversarial Networks
Dropout as bayesian approxiamtion
While current deep networks are widely used in multiple applications, they do have some issues: Neural networks compute point estimates Neural networks ...
Deep Learning Basics
Deep learning is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Learni...
Python Data Structure 2
Sorting
Calculus
Matrix Calculus
Blockchain with Elliptic curve crypto
Blockchain With Elliptic Curve Digital Signature (ECDSA)
Bayesian Active Learning
Active Learning
Advanced Python
Iterators
Active Learning
Active Learning
AES Encryption
AES Encryption
CNN for Text Classification
1D CNN