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Generative AI
2,866,148 Views · 3 years ago

The first 1000 people to use the link will get a free trial of Skillshare Premium Membership: https://skl.sh/zyproductions03211

Sony's Alpha 1 is one heck of a camera that handles both stills and video like a champ. In this review we'll focus on its video capabilities! massive shoutout to @Adam Lobo for helping out with the ISO test with his A7S III! He does tech reviews as well, head on over to his channel and say hi!

8K Cat video: https://youtu.be/suaCbX5ji24
A1 Reviewed for Stills: Coming Soon!

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Generative AI
2,865,591 Views · 3 years ago

Deep Learning in Life Sciences - Lecture 05 - Interpretable Deep Learning (Spring 2021)
6.874/6.802/20.390/20.490/HST.506 Spring 2021 Prof. Manolis Kellis
Deep Learning in the Life Sciences / Computational Systems Biology
Playlist: https://youtube.com/playlist?l....ist=PLypiXJdtIca5sxV
Latest slides and course today: http://compbio.mit.edu/6874
Spring 2021 slides and materials: http://mit6874.github.io/

0:00 Lecture outline
3:08 Interpretability: definition, importance
10:30 Interpretability: ante-hoc vs. post-hoc
18:26 Interpreting models: Weight visualization
22:20 Interpreting models: Surrogate model
24:14 Interpreting models: Activation Maximization / Data generation
34:26 Interpreting models: Example-based
39:36 Interpreting decisions
42:24 Interpreting decisions: Example based
45:39 Interpreting decisions: Attribution methods
1:01:17 Interpreting decisions: Gradient based
1:08:55 Interpreting decisions: Backprop-based
1:13:23 Evaluating attributions
1:14:15 Evaluating attributions: Coherence
1:15:30 Evaluating attributions: Class sensitivity
1:16:20 Evaluating attributions: Selectivity
1:19:45 Evaluating attributions: Remove and retrain/keep and retrain
1:21:15 Lecture summary

Generative AI
2,865,163 Views · 3 years ago

In this video we will learn how to build a convolutional neural network (cnn) in TensorFlow 2.0 using the Keras Sequential and Functional API. We take a look at how to do max pooling layers, batch normalization etc.

Resources or prerequisite videos:
1. Deep learning specialization course 4 (No need to watch all, for example not after C4W2L02):
https://www.youtube.com/playli....st?list=PLkDaE6sCZn6

2. Batch Normalization video:
https://youtu.be/nUUqwaxLnWs

I learned a lot and was inspired to make these TensorFlow videos by the TensorFlow Specialization on Coursera. Below you'll find both affiliate and non-affiliate links, the pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
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