Don't forget that this is 360 video: you can change the angle of view.

In winter the Lake is covered with ice 1-2 meters thick. During very cold times giant cracks appear in the ice. They can be up to 30 km long and 3 meters wide. Apart from giant cracks, the Lake is covered with beautiful and very diverse small cracks. The cliffs on the banks grow icicles of unbelievable size. Baikal ice attracts tourists from all over the world.

If you enjoyed this video please like, share, comment, favorite, subscribe: https://goo.gl/NZMdaz
We regularly publish new 360 videos of the most beautiful places on our planet!

360° photos and videos, stories of our shootings, articles and FAQ you can find on our website: http://AirPano.com

Nowadays you need extraordinary computer power for watching 8K 360° videos. If you have troubles with watching such videos, choose 4K or HD quality in the settings of your YouTube player. We hope that YouTube will find a solution for optimization this videoformat to make it watchable for common users.

Also here is the answer for a frequently asked question about true resolution of an 8K 360° video. Unlike standard videos, in a 360° video you can see only a part of original image (approximately 30 degrees out of 360). As result, the real resolution of the part you can see isn't bigger than 1.3K.

YouTube does not support 12K 360 video yet, so the video was down-sampled from 12K to 8K. But still you need an extraordinary computer power for watching 8K 360° videos.

#AirPano #AirPanoNature #Baikal #drone #360video #Russia

There are so many videos circulating and forums saying that you actually can't see the difference in 4K and Full HD...its time to blow the whistle on it and technically break down how insanely different it really is.

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This is my solution to sigmoid.m function in Programming assignment 2 from the famous Machine Learning course by Andrew Ng.


Github: https://github.com/AladdinPerz....on/Courses/tree/mast

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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