Surya Pratap Singh's Projects
In this project, I created a powerful vanilla encoder using tensorflow.
You will learn about object detection using the very powerful YOLO model.
In this project, we will implement your first Recurrent Neural Network in numpy.
Welcome to Dinosaurus Island! 65 million years ago, dinosaurs existed, and in this assignment they are back. You are in charge of a special task. Leading biology researchers are creating new breeds of dinosaurs and bringing them to life on earth, and your job is to give names to these dinosaurs. If a dinosaur does not like its name, it might go beserk, so choose wisely!
In this notebook, we : Implemented helper functions that we used when implementing a TensorFlow model Implement a fully functioning ConvNet using TensorFlow
In this project, we implemented convolutional (CONV) and pooling (POOL) layers in numpy, including both forward propagation and backward propagation.
R's data.table package extends data.frame:
In this project, we will: Implement the neural style transfer algorithm Generate novel artistic images using your algorithm
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Data-driven projects repo
You are going to use word vector representations to build an Emojifier.
In this project, I played detective, and put my machine learning skills to use by building an algorithm to identify Enron Employees who may have committed fraud based on the public Enron financial and email data set.
Here you will build a face recognition system. In this project, we will: Implement the triplet loss function Use a pretrained model to map face images into 128-dimensional encodings Use these encodings to perform face verification and face recognition
my first repository
Here I learned to: Apply an LSTM to music generation. Generate your own jazz music with deep learning.
In this project, a machine learning model for predicting income is developed. Deployment is done using Flask API and Heroku.
A collection of internship applications for the summer of 2020
In this assignment, you will: Learn to use Keras, a high-level neural networks API (programming framework), written in Python and capable of running on top of several lower-level frameworks including TensorFlow and CNTK. See how you can in a couple of hours build a deep learning algorithm.
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
A Python implementation of LightFM, a hybrid recommendation algorithm.
In this project, i built a movie recommendation model and then formed it's API. I am currently working on it to be a part of backend for a movie recommendation website.
You will build a Neural Machine Translation (NMT) model to translate human readable dates ("25th of June, 2009") into machine readable dates ("2009-06-25"). You will do this using an attention model, one of the most sophisticated sequence to sequence models. This notebook was produced together with NVIDIA's Deep Learning Institute.
Open Source Computer Vision Library
After this assignment you will be able to: Load pre-trained word vectors, and measure similarity using cosine similarity Use word embeddings to solve word analogy problems such as Man is to Woman as King is to __. Modify word embeddings to reduce their gender bias Let's get started!
python implementation of Porter's stemming algorithm
Recommender System Challenge by @Sirajology on Youtube
my first repository: a GIT udacity course