Last updated 12/2022MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English + vtt | Duration: 15h 4m | Size: 2.53 GB

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 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.

Build a Model for Anomaly Detection in Series Data By Pratheerth Padman

Build a Rating Recommendation Ee 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

Sennt Classification with Recurrent Neural Networks By Biswanath Halder

Implement Natural Language Processing for Word Embedding By Axel Sirota

Understanding of algorithms used in the path. Though it is desired but not mandatory Understanding of Deep Learning Key concepts

HomePage:

gfxtra__Deep_Learn.part1.rar.html

gfxtra__Deep_Learn.part2.rar.html

gfxtra__Deep_Learn.part3.rar.html