randallsalvares Goto Github PK
Name: randall alvares
Type: User
Name: randall alvares
Type: User
Find Malignant and benign cells
find fraudsters
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Identify faces and locate the coordinates of the rectangle in the image
Basic face detection
The need for deep learning approaches in SMART manufacturing is gaining traction, so the need for highly optimized models is in high demand as deep learning algorithms have shown an increased accuracy in predicting the time-series related dataset problems due to its complex architecture compared to conventional machine learning techniques. In this repo we can see how a improved version of the Recurrent Neural Network (RNN) known as the LSTM or Long Short-Term Memory Network works in producing highly optimized models for prognostic related challenges. I am using LSTM architecture on a PyTorch framework backend to build a model which is tested on four different run to failure datasets provided by the NASA repository on turbofan degradation for aircrafts. The repo starts by highlighting the benefits and developments in today’s world done by deep learning approaches especially in the Manufacturing industry. A brief introduction is also provided about how the data is generated and pre-processed for model training. This is then followed by showing a step by step approach of how the LSTM PyTorch model is designed with various parameters and clear results are displayed in tabular forms of the test results for 3 different optimizers, which are RMSprop, SGD and ADAM. The results show after comparing the RMSE values for each optimizer trained models that the RMSprop is clearly better. This is followed by a further hyper-parameter optimization to improve the current RMSE results also displayed in tables below. The repository ends on showing how Transfer Learning can be utilised to further deep learning approaches by using already trained models to predict newer datasets.
takes a list of an even number of value and is of at minimum length of 6 sequential and increasing elements and find the most likely middle value.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.