This path is focused on Deep Learning in action. We have pulled a series of examples to demonstrate how deep learning is embedded in our day to day lives. These are just in time sort of courses that reflect the journey from problem to solution.
The path is curated for Data enthusiasts that are eager to learn about Deep learning and foray into Data centered roles like Data scientist. Though this path will contain workable solutions, there is no requirement for the learner to have any background into Machine Learning or Deep learning. Intention is to have sandboxes for the path.
List of courses
Build a Model for Anomaly Detection in Time Series Data By Pratheerth Padman
Build a Rating Recommendation Engine with Collaborative Filtering By Pratheerth Padman
Build an Object Detection Model with Python By Gabrielle Davelaar
Deep Learning Application for Finance By Jaimin M
Deep Learning Application for Healthcare By Colin Matthews
Deep Learning Application for Marketing By Netta Tzin
Deep Learning Application for Retail By Trent McMillan
Implement Image Captioning with Recurrent Neural Networks By abdul-yousaf
Implement Image Recognition with a Convolutional Neural Network By Pratheerth Padman
Implement Text Auto Completion with LSTM By Biswanath Halder
Sentiment Classification with Recurrent Neural Networks By Biswanath Halder
Implement Natural Language Processing for Word Embedding By Axel Sirota
Experience
Understanding of algorithms used in the path. Though it is desired but not mandatory Understanding of Deep Learning Key concepts
Homepage

https://anonymz.com/?
https://www.pluralsight.com/paths/deep-learning-literacy-practical-application]https://anonymz.com/?
https://www.pluralsight.com/paths/deep-learning-literacy-practical-application

Screenshots