Practical Deep Learning Tutorial for Beginners Part 1 | Machine Learning | Techie Lessons

Practical Deep Learning Tutorial for Beginners Part 1 Machine Learning | Techie Lessons

In this first part of Practical deep learning course you will learn about most cutting edge deep learning technology. Along the way you will be exposed to :
- Image classification using transfer learning
- How to set hyper-parameter , learning rate
- Practical deep learning application
- Image collection
- - Parallel downloading
- - Creating a validation set, and
- - Data cleaning, using the model to help us find data problems.
- Image segmentation
- Fine tuning
- Natural language processing
- Tabular
- Collaborative filtering
- Loss function
- Back Propagation
- Neural net
- Regularization
- Convolutions
- Resnets
- Generative adversarial network
Table of Contents:
Deep learning – Image Classification (5:00)
Deep learning – Data cleaning and production (01:42:00)
Deep learning – Data blocks; Multi-label classification, segmention (3:45:00)
Deep learning - NLP_ tabular data
Deep learning – Back propagation, Accelerated SGD, Neural net
Deep learning – Regularization, Convolutions, data ethics (2:15:00)
Deep learning – Resnets from Scratch, u-net, Generative Adversarial network
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Creator of this videos: Sir, Jeremy Howard
License: Creative Commons Attribution license (reuse allowed)
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