id
stringclasses 15
values | title
stringclasses 15
values | url
stringclasses 15
values | published
stringclasses 15
values | text
stringlengths 2
633
| start
float64 0
4.86k
| end
float64 2
4.89k
|
|---|---|---|---|---|---|---|
NfnWJUyUJYU | CS231n Winter 2016: Lecture1: Introduction and Historical Context | https://youtu.be/NfnWJUyUJYU | 2016-01-04T00:00:00.000000 | What does a midterm exam look like? Like what's going to change? Like more mathematical, more conning, or talk-sending? | 4,662 | 4,669 |
NfnWJUyUJYU | CS231n Winter 2016: Lecture1: Introduction and Historical Context | https://youtu.be/NfnWJUyUJYU | 2016-01-04T00:00:00.000000 | Good question, Andre, do you have midterm? A bit of everything, which means they haven't figured it out. | 4,669 | 4,678 |
NfnWJUyUJYU | CS231n Winter 2016: Lecture1: Introduction and Historical Context | https://youtu.be/NfnWJUyUJYU | 2016-01-04T00:00:00.000000 | Yeah, we will give you sample midterms, okay? All right, thank you, welcome to the class. | 4,678 | 4,696 |
NfnWJUyUJYU | CS231n Winter 2016: Lecture1: Introduction and Historical Context | https://youtu.be/NfnWJUyUJYU | 2016-01-04T00:00:00.000000 | you | 4,708 | 4,711 |
NfnWJUyUJYU | CS231n Winter 2016: Lecture1: Introduction and Historical Context | https://youtu.be/NfnWJUyUJYU | 2016-01-04T00:00:00.000000 | you | 4,738 | 4,741 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | And we're recording as well. | 0 | 2 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | Okay, great. Just to remind you again, hello. | 2 | 4 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | We're recording the classes, so if you're comfortable speaking in the camera, | 4 | 8 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | you're not in the picture, but your voice might be on the recording. | 8 | 14 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | Okay, great. As you can see also the screen is wider than it should be, | 14 | 18 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | and I'm not sure how to fix it, so we'll have to live a little bit. | 18 | 22 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | Luckily your visual cortex is very good, it's very invariant to stretching, | 22 | 25 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | so this is not a problem. | 25 | 27 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | Okay, so we'll start out with some administrative things before we dive into the class. | 27 | 31 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | The first assignment will come out tonight or early tomorrow. | 31 | 35 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | It is due on January 20, so you have exactly two weeks. | 35 | 38 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | You will be writing a tenuous neighbor classifier, a linear classifier, | 38 | 41 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | and a small two layer in your own network, and you'll be writing the entirety of | 41 | 44 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | back propagation algorithm for a two layer in your network. | 44 | 47 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | We'll cover all that material in the next two weeks. | 47 | 50 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | And warning, by the way, there are assignments from last year as well, | 50 | 54 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | and we're changing the assignments, so they will please do not complete a 2015 assignment. | 54 | 59 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | That's something to be aware of. | 59 | 61 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | And for your computation, by the way, we'll be using a Python and NumPy, | 61 | 65 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | and we'll also be offering terminal.com, which is basically these virtual machines | 65 | 70 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | in the cloud that you can use if you don't have a very good laptop. | 70 | 73 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | And so I'll go into detail of that in a bit. | 73 | 75 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | I'd just like to point out that for the first assignment, | 75 | 78 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | we assume that you'll be relatively familiar with Python, | 78 | 81 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | and you'll be writing these optimized NumPy expressions, | 81 | 84 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | where you're manipulating these matrices and vectors in very efficient forms. | 84 | 87 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | So for example, if you're seeing this code, and it doesn't mean anything to you, | 87 | 91 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | then please have a look at our Python NumPy tutorial that is up on the website as well. | 91 | 95 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | It's written by Justin, and it's very good. | 95 | 97 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | And so go through that and familiarize yourself with the notation, | 97 | 100 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | because you'll be seeing, you'll be writing a lot of code that looks like this, | 100 | 103 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | where we're doing all these optimized operations, so they're fast enough to run on a CPU. | 103 | 108 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | Now in terms of terminal, basically what this amounts to is that we'll give you a link to the assignment. | 108 | 113 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | You'll go to a webpage, and you'll see something like this. | 113 | 115 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | This is a virtual machine in the cloud that has been set up with all the dependencies of the assignment. | 115 | 120 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | They're all installed already. All the data is already there. | 120 | 123 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | And so you click on launch a machine, and this will basically bring you to something like this. | 123 | 127 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | This is running in your browser, and this is basically a thin layer on top of an AWS machine, | 127 | 133 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | a UI layer here. | 133 | 135 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | And so you have an iPad to notebook, and a little terminal, and you can go around, | 135 | 138 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | and this is just like a machine in the cloud. | 138 | 140 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | And so they have some CPU offerings, and they also have some GPU machines that you can use, and so on. | 140 | 145 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | You normally have to pay for terminal, but we'll be distributing credits to you. | 145 | 148 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | So you just email us to a specific TA that will decide in a bit. | 148 | 152 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | You email to a TA, and you ask for money, we'll send you money, | 152 | 155 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | and we keep track of how much money we've sent to all the people, | 155 | 157 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | so you have to be responsible with the funds. | 157 | 159 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | So this is also an option for you to use, if you like. | 159 | 163 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | Okay, any details about this? | 163 | 167 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | Yep, good. | 167 | 168 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | Good question. | 168 | 169 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | You said that that GPU that says that human can write like Google code, or is that not? | 169 | 173 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | You can write it if you like. | 173 | 176 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | It's not required for you, cement, but you can probably get that to run. | 176 | 180 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | Okay, great. | 180 | 183 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | So I'm just going to dive into the lecture now. | 183 | 185 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | Today we'll be talking about image classification, and especially we'll start off on linear classifiers. | 185 | 190 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | So when we talk about image classification, the basic task is that we have some number of fixed categories, | 190 | 195 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | say a dog, cat, truck, plane, or so on. | 195 | 198 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | We get to decide what these are. | 198 | 200 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | And then the task really is to take an image, which is a giant grid of numbers, | 200 | 203 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | and we have to transform it to one of these labels. | 203 | 205 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | We have to bin it into one of the categories. | 205 | 207 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | This is the image classification problem. | 207 | 209 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | We'll spend most of our time talking about this one specifically. | 209 | 211 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | But if you'd like to do any other task in computer vision, such as object detection, | 211 | 214 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | image captioning, segmentation, or whatever else, | 214 | 217 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | you'll find that once you know about image classification and how that's done, | 217 | 220 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | everything else is just the tiny delta on top of it. | 220 | 223 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | So you'll be in a great position to do any of the other tasks. | 223 | 225 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | So it's really good for conceptual understanding, and we'll work through that as a specific example | 225 | 229 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | to simplify things in the beginning. | 229 | 232 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | Now, why is this problem hard, just to give you an idea? | 232 | 234 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | The problem is what we refer to as a semantic gap. | 234 | 237 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | This image here is a giant grid of numbers. | 237 | 239 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | The way images are represented in the computer is that this is basically, say, roughly a 300 by 100 by 3 pixel array. | 239 | 245 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | So a 3-dimensional array. | 245 | 247 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | And the 3 is for the 3 color channels, red, green, and blue. | 247 | 250 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | And so when you zoom in on a part of that image, it's basically a giant grid of numbers between 0 and 255. | 250 | 255 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | So that's what we have to work with. | 255 | 258 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | These numbers indicate the amount of brightness in all the 3 color channels at every single position in the image. | 258 | 263 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | And so the reason that image classification is difficult is when you think about what we have to work with, | 263 | 268 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | these like millions of numbers of that form, and having to classify things like cats, | 268 | 273 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | it quickly becomes apparent to the complexity of the task. | 273 | 276 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | So for example, the camera can be rotated around this cat, and it can be zoomed in and out, | 276 | 281 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | and rotated, shifted the focal properties, intrinsic so that camera can be different. | 281 | 285 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | And think about what happens to the brightness values in this grid as you actually do all these transformations with the camera. | 285 | 291 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | We will completely shift all the patterns are changing, and we have to be robust to all of this. | 291 | 295 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | There's also many other challenges, for example, challenges of illumination. | 295 | 299 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | Here we have a long cat, one cat, we actually have two of them, but you almost can't see the other one. | 299 | 306 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | And so one cat is basically illuminated quite a bit, and the other is not, but you can still recognize two cats. | 306 | 312 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | And so think about, again, the brightness values on the level of the grid, | 312 | 315 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | and what happens to them is you change all the different lightings and all the possible lighting schemes that we can have in the world. | 315 | 320 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | We have to be robust to all of that. | 320 | 322 |
8inugqHkfvE | CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 | https://youtu.be/8inugqHkfvE | 2016-01-06T00:00:00.000000 | There's issues of deformation, many classes, | 322 | 326 |