<caption><image_5>The image is a screenshot of a presentation slide with a graph on the left side. The graph is a line graph that shows the relationship between the number of people who have been diagnosed with COVID-19 and the percentage of people affected by the virus. The x-axis of the graph represents the time period, while the y-axis represents the percentage.

On the right side of the slide, there is a title that reads "Why is it important to act early on COVID19?" Below the title, there are two bullet points that explain the concept. The first bullet point explains that the majority of people in the image are affected by this virus, and the second bullet point mentions that they are not affected by it. The text on the slide explains that it is important to take action to ensure that the virus is safe and healthy. The slide also has a button at the bottom that says "Save" and a link to a website for more information about the presentation.</caption> virus spreads very slowly so the one difference between this virus and say the cold or the flu many people have the color to last year and store likely you call this year plus we have a shot get to do community and then look at isolating ourselves helps the first I'm assuming again no one's immune and you only need five people day again in fact ten percent of them and saying see right this first column right it's you nobody end of second week affected story three people you contact ten people moves up to 2020 people for year thousand might like 20 people each then two weekly basically in fact with all San Diego County now you know once doing sent me a good reference on understand all this and here is the full URL here's a tiny URL for you interested it's actually a very good site and yeah there's a minute the rate effectually used two point five two stamps and so that rates we were talking about you know on this learn in cases the United States and we need almost five and you should they probably all seen this crazy flattening the curve we're trying to do is it's slow whisper disease and so that fear people need to
{"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"}}