How Does Triplet Loss and Online Triplet Mining Work?
Triplet Loss and Online triplet mining for metric learning
Triplet Loss and Online triplet mining for metric learning
Explore Greedy, Top P and Top K sampling strategies in Generative Language Models
Let’s implement a Transformer Decoder Layer from scratch using Pytorch
Let’s implement a Transformer Encoder Layer from scratch using Pytorch
Understand why masking is needed in Transformer Encoder and Decoder networks and how they are used
Let’s implement Multi-Head Attention from scratch with visual examples
Let’s explore why we need non-linear activation functions in Neural Networks
Learn the algorithm that powers machine learning models such as LLMs and Diffisuion models
Train a NER model with your own data using Huggingface transformers library
Learn how to fine tune a model to compute image similarity using Triplet loss
Learn how to use deep neural networks to implement image search
Write recursive SQL queries in PostgreSQL with SQLAlchemy
Setup SQLAlchemy ORM to use externally created tables
Understanding linear or dense layer in a neural network
How to speed up matrix and vector operations in Python using numpy, tensorflow and similar libraries
Nearest Neighbors search in Python using scikit-learn
Learn how to create and train a simple convolutional neural network in Keras
Learn how to work with huge files in Python
Design and train a basic neural network for predicting dress types on FashionMNIST dataset.
Intro to tensorflow 2 with linear regression
Topic modeling in Python using scikit-learn
Text clustering with KMeans algorithm using scikit learn
How to extract features from text for machine learning models
Natural language processing basics: tokenization, stemming, lemmatization, POS tagging
Simple web scraper in Python using Requests and BeautifulSoup
Introduction to web scraping
Learn how to classify if a headline is a clickbait or not
A simple and minimal example showing how to detect named entities in an unstructured text
A tutorial on text classification using sklearn
A short tutorial on using word embedding layer in Keras
Train a neural network model to predict letters and numbers from a license plate
A short tutorial on fully convolutional neural networks
Introduction to ParDo transform in Apache Beam
Getting started with PTransforms in Apache Beam
Copy vs deep copy
Introduction to Apache Beam
Learn how to use Tensorflow Estimator API
A tutorial on building neural networks with multiple outputs
A series of tutorial on using Convolutional Nerual Networks to classify gender of a person in an image
A series of tutorial on using Convolutional Nerual Networks to classify gender of a person in an image
A series of tutorial on using Convolutional Nerual Networks to classify gender of a person in an image
Learn how to design and train a convolutional neural network for binary classification in Keras