Deep Learning

Open-Deep-ML | A CP platform offering algorithmic problems for ML practitioners
Significant contributions to the DML-OpenProblem repository, which powers the deep-ml.com website. These contributions include bug fixes, documentation improvements, and future plans for enhancing the platform’s functionality and user experience.
GitHub Personal Deep-ML Repo
Open-Deep-ML | A CP platform offering algorithmic problems for ML practitioners
Amazon Text Summarization using LSTM
A deep learning project that uses LSTM networks to generate summaries for Amazon product reviews.
Amazon Text Summarization using LSTM
Back Propogation
Implementation of backpropagation algorithm in a three-layer feedforward neural network using the IRIS dataset.
Srihari Thyagarajan
Last updated on Jun 3, 2024 14 min read Programming, Machine Learning, Algorithms, Academic
Back Propogation
Feedforward Neural Network
Implementing a feedforward neural network and exploring its inner workings through a step-by-step approach.
Srihari Thyagarajan
Last updated on Jun 3, 2024 14 min read Programming, Algorithms, Data Science, Academic
Feedforward Neural Network
Convolutional Neural Networks (CNN)
Building and training a Convolutional Neural Network (CNN) on the MNIST dataset, with an exploration of different layers.
Srihari Thyagarajan
Last updated on Jun 3, 2024 9 min read Programming, Machine Learning, Computer Vision, Academic
Convolutional Neural Networks (CNN)
Hyperparameter Tuning
Exploring effective strategies for hyperparameter tuning to enhance the performance of neural network models using the IMDB dataset.
Srihari Thyagarajan
Last updated on Jun 3, 2024 13 min read Programming, Machine Learning
Hyperparameter Tuning
Image classification using NN
Implementing a neural network for image classification on the Fashion MNIST dataset to achieve accurate predictions.
Srihari Thyagarajan
Last updated on Jun 3, 2024 14 min read Programming, Machine Learning, Data Science, Computer Vision
Image classification using NN
Implementing Transfer Learning with VGG 16
A structured guide for implementing Transfer Learning using the VGG 16 model. Transfer learning leverages pre-trained models like VGG 16, trained on large-scale image datasets like ImageNet, and adapts them for specific tasks with relatively smaller datasets.
Srihari Thyagarajan
Last updated on Jun 3, 2024 12 min read Programming, Machine Learning, Data Science, Computer Vision
Implementing Transfer Learning with VGG 16
Tensorflow Basics
An introduction to performing basic operations with Tensorflow, covering fundamental concepts and simple implementations.
Srihari Thyagarajan
Last updated on Jun 3, 2024 7 min read Programming, Machine Learning, Data Science, Deep Learning
Tensorflow Basics
Deep Learning Rate Optimizers
Performing various optimization techniques on a neural network using the IRIS dataset and evaluating their performances.
Srihari Thyagarajan
Last updated on Jun 3, 2024 38 min read Programming, Machine Learning, Algorithms, Academic
Deep Learning Rate Optimizers