Sir, your but it's not so cliche that I think to myself, Wow, that's too cliche!

You know, The word Apology is toast around a lot these days.

Well, when you say it like that, It sounds like a giant cliche.

I think we got them fooled.

It arises from not thinking.

(Supplied by a Late Consumptive Usher to a Grammar School)

Banality of heroism. It's ordinary people who do heroic deeds.

So this is where there's a dye that changes with the acidity, and so when, as the bacteria metabolize whoa!

So there it sits on our shelves obsolete to us, but with immediate latent value to someone else.

But I think women are actually going to be ironically enough responsible for driving a stake through the heart of cheesy genre categories

light of logistic regression, the Support

We've got H50 on a diet of chlorophyll, roughage, bean curd, and enriched starch.

Can we just skip over the histrionic actionmovie cliches?

Where is the Master?

I'm Chen Kuanghui.

And let's say you've implement and regularize linear regression.

In the previous video, we talked about a cost function for the neural network.

They're best described as iconic so iconic, perhaps, they're cliches.

And what I understand from my Brazilian friends is that this guy is just a cliche machine.

I needed tools that were robust, modular, highly efficient and optimized,

They think they'll be able to rent it five times during the year but their shipping cost was about 9, their cleaning cost a dollar processing cost a dollar and their customer acquisition and activation cost 25 a team and so if you take a look at their unit costs you add all this up it's 230 but their revenue was only 199.

we take this first model with lambda equals 0, and minimize my cos function j of theta and this would give me some parameter vector theta and similar to the earlier video,

And then I can take my second model, with lambda set to 0.01 and minimize my cos function, now using lambda equals 0.01 of course, to get some different parameter vector theta, we need to know that theta 2, and for that I end up with theta 3 so that this is correct for my third model, and so on, until for for my final model with lambda set to 10, or 10.24, or I end up with this theta 12.

The first is this term which is the cost that comes from the training set and the second is this term, which is the regularization term and what we had, we had to control the trade off between these by saying, you know, that we wanted to minimize A plus and then my regularization parameter lambda, and then times some other term B, right?

I'm also convinced that, in an age of computer manipulation, surrealism has become banal, a shadow of its former self.

He's exactly like Tofu.

Unfortunately, the majority of us today are living on processed foods

In the next video, we'll start to talk about an algorithm for trying to optimize the cost function.

Do not touch the exhibits.

Don't touch the exhibits.

You know what, Henry? You're a regular barnyard exhibit.

So the goal here is to try and push, and see how far we can get towards the green curve.

Now kindness might sound like a very mild word, and it's prone to its own abundant cliche.

Costs

Cost

Cost

Trite and untrue... but even still, the message the Fifth Column sent... seems to have produced something of a groundswell.

Do not touch the exhibits.

Don't touch the exhibits.

The cost function we use for the neural network is going to be a generalization of the one that we use for logistic regression.

The rotten apple injures its neighbors.

Joey Costo.

You have me full.

That margarine's turned. Son of a bitch.

And it's all rotten!