<caption><image_2>The image is a screenshot of a music player interface. It has a black background with a grid of squares in the center. The squares are arranged in a grid-like pattern. On the left side of the grid, there is a picture of a person playing a guitar and on the right side, there are two images of a man playing the guitar. The man is wearing a black shirt and appears to be in the middle of a performance. 

In the center of the image, there has an orange square with the letter "J" in the top right corner. Below the square, it is a list of options for the player's name, such as "Music", "Play", "Pause", and "Pause". The options are labeled with their respective names.

On the top left corner of the screen, there appears to have a menu bar with options for different settings and options for playing music. The bottom right corner has a search bar and a menu icon. The overall design of the interface is modern and sleek.</caption><caption><image_3>The image is a screenshot of a presentation slide titled "Virus infection Simulation". The slide has a white background and black text. On the left side of the slide, there is a table with columns and rows. The first column is labeled "Assumptions" and the second column is titled "Contact 20 people per day". The table contains information about the virus infection simulation.

At the top of the table, there are two bullet points that explain the simulation. The bullet points are:

1. The table shows that the simulation is about the number of people infected with the virus, with the first bullet point showing the percentage of people who have infected with it.
2. The second bullet point shows that there are more cases of the virus than the third bullet point. The fourth bullet point reads "New Cases Each Day".

The slide also has a small image of a person on the top right corner, which appears to be a computer screen.</caption><caption><image_4>The image is a screenshot of a virus infection simulation. It shows a table with three columns and three rows. The first column is labeled "Virus Infection Simulation" and the second column is titled "Assumptions". The table is divided into three columns, each representing a different type of virus.

The first column shows the number of people infected with the virus, ranging from 0 to 100%. The second column shows that the virus has been infected with a virus of 100% people per day. The third column shows how the virus is affected by the virus. The table also shows the percentage of people who have been infected, with the highest percentage being 100% and the lowest being 100%.

At the bottom of the image, there is a button that says "Start" and a drop-down menu that allows the user to start the simulation.</caption> stuff and then we'll go on to questions and then you go back to do a newest star can ad less so me okay so this weekend I was thinking about the spread of virus and why so important to the isolated and so I ran some very simple simulations so here on the so mean that let me contact you know say 20 people per day and those that come in contact with the infection 10% and the problem with this virus is that no one is immune and so we start off with one person and next day they defected to people and basically by the end of the week we're two weeks on most or like 200,000 cases new cases of course this is simplistic in the sense of as more more people get infected it becomes harder and harder to infect other people but when you look at it if half the population is immune you know at the very end you know we're between that and maybe 2000 cases and then once they reach you know hi nerdy rate the
{"source": "grass-yt-cc-by.1BknnZU_yOQ|shard_10013_19|create_multimodal_data.extract_yt_and_generate_transcripts.58|shard_10013|create_multimodal_data.generate_captions.58|shard_10013|create_multimodal_data.generate_captions.58", "params": {"id": "1BknnZU_yOQ", "channel_id": "UC_QKOkr6TT1e0-lQqbjc1-Q", "duration": 4174, "view_count": 47, "age_limit": 0, "chapters": [{"start_time": 0, "end_time": 193.0, "title": "<Untitled Chapter 1>"}, {"start_time": 193.0, "title": "Virus infection Simulation", "end_time": 544.0}, {"start_time": 544.0, "title": "Why We Sleep", "end_time": 1192.0}, {"start_time": 1192.0, "title": "Systematic way to change weights", "end_time": 1303.0}, {"start_time": 1303.0, "title": "Basic Algorithm", "end_time": 1377.0}, {"start_time": 1377.0, "title": "Basic Structure of Neuron", "end_time": 1573.0}, {"start_time": 1573.0, "title": "Varying Learning Rate", "end_time": 1677.0}, {"start_time": 1677.0, "title": "Varying Starting Point", "end_time": 1740.0}, {"start_time": 1740.0, "title": "Linear Neurons - Perceptrons", "end_time": 1766.0}, {"start_time": 1766.0, "title": "Types of Neurons/Activation Functions", "end_time": 1839.0}, {"start_time": 1839.0, "title": "Neural Networks Parameters", "end_time": 1874.0}, {"start_time": 1874.0, "title": "Layers", "end_time": 1941.0}, {"start_time": 1941.0, "title": "Forward Propagation", "end_time": 1972.0}, {"start_time": 1972.0, "title": "Back Propagation", "end_time": 2005.0}, {"start_time": 2005.0, "title": "Overfitting", "end_time": 2040.0}, {"start_time": 2040.0, "title": "Hyperparameters", "end_time": 2168.0}, {"start_time": 2168.0, "title": "Images & Scaling", "end_time": 2321.0}, {"start_time": 2321.0, "title": "Hello World of Deep Learning", "end_time": 2360.0}, {"start_time": 2360.0, "title": "Different Methods with Error Rate", "end_time": 2435.0}, {"start_time": 2435.0, "title": "Spark DeepLearning", "end_time": 2649.0}, {"start_time": 2649.0, "title": "AWS Free Tier", "end_time": 2698.0}, {"start_time": 2698.0, "title": "EC2 Pricing", "end_time": 2814.0}, {"start_time": 2814.0, "title": "Basic Outline", "end_time": 2856.0}, {"start_time": 2856.0, "title": "Simple Storage System - S3", "end_time": 2935.0}, {"start_time": 2935.0, "title": "S3 Creating a Bucket", "end_time": 3137.0}, {"start_time": 3137.0, "title": "Bucket Names", "end_time": 3163.0}, {"start_time": 3163.0, "title": "Access Control Lists (ACL)", "end_time": 3193.0}, {"start_time": 3193.0, "title": "S3 Data Consistency Model", "end_time": 3266.0}, {"start_time": 3266.0, "title": "CAP Theorem", "end_time": 3588.0}, {"start_time": 3588.0, "title": "Consistency over Latency", "end_time": 4174}], "like_count": 2, "channel_follower_count": 117, "license": "Creative Commons Attribution license (reuse allowed)", "uploader_id": "@rogerwhitneysdsucourses1456", "yt_tar_file": "/leonardo_work/EUHPC_E03_068/audio/fixed_download/grass-yt-cc-by//shard_10013/1BknnZU_yOQ.tar.gz"}}