English | Size: 2.54 GB
Genre: eLearning
Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised.
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.
Courses in this path
• Deep Learning Application for Healthcare
• Deep Learning Application for Marketing
• Deep Learning Application for Finance
• Deep Learning Application for Retail
• Implement Image Recognition with a Convolutional Neural Network
• Implement Text Auto Completion with LSTM
• Implement Image Captioning with Recurrent Neural Networks
• Sentiment Classification with Recurrent Neural Networks
• Implement Natural Language Processing for Word Embedding
• Build a Rating Recommendation Engine with Collaborative Filtering
• Build an Object Detection Model with Python
• Build a Model for Anomaly Detection in Time Series Data
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