Fujisawa

Luckily, my luggage didn’t get lost.

Originally planned to stay in Kamakura,
but when I booked my itinerary, there were no hotels available on Booking website.
So I ended up staying in nearby Fujisawa.

In fact, Fujisawa is very close to Kamakura.
With the Enoshima Electric Railway one-day pass, it only takes 40 minutes to get there.
You can also get off at Enoshima halfway and take a stroll.

It turned out that staying in Fujisawa was not a bad decision.
After arriving at Shonan Wing International, I got a special access pass.

Hakone 0

Let’s choose this hotel. I have been here a few times and it’s considered one of the best in Hakone,” said LittleMaster’s wealthy friend.

After seeing the price, LittleMaster couldn’t help but ask, “Why should I stay at such a nice hotel by myself?” Because the nice hotels are built on top of hot springs ♨️, while the less expensive ones require water to be pumped and don’t guarantee temperature.

“Why stay at such a nice hotel by yourself?” This hotel has rooms with balconies that have hot springs ♨️, so you don’t have to go to the men’s or women’s baths. It’s very private.

“I’m going alone,” said LittleMaster. “After working continuously for so long, it’s time to relax. Let’s call it a graduation trip 🎓 ✈️.”

Unable to resist the temptation, LittleMaster booked a room at the Hakone Kowaki-en Ten-yu. The name itself sounds very calming.

Japan-2-0

🇯🇵

Introduction

LittleMaster’s older sister suddenly said she wanted to go to Hakone.

So, I skipped some (a lot of) chapters and decided to write this first.

As for why it’s written in traditional characters,

it’s because my sister is Taiwanese,

although she can read simplified characters.

This is the worst task I have ever done.

TxHandler.java cannot be built and run, everything is a guess. Because I am unfamiliar with JAVA, I encountered millions of syntax errors after submitting.

I have to:

• Manually import packages
• Add “;” after each line
• Add “()” after “if”
• Declare variable types

This is why I hate JAVA 😡😡😡

Anomaly Detection

1.1 Gaussian distribution

1.1.1 Finding closest centroids

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v = [];
for j = 1:K
    v = [v, sum((X - centroids(j,:)).^2, 2)];
end
[v, idx] = min(v, [], 2);

The symbol means Norm not Absolute value the first time as I thought. 😂

I’ve heard many times about SVM before, but now I have witnessed its power. 😄

1.2.1 Gaussian Kernel

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sim = exp(-sum((x2-x1).^2)./(2*sigma.^2));

1.2 Regularized linear regression cost function

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J = 1/(2*m)*sum( (X*theta - y).^2 ) + lambda/(2*m)*sum(theta(2:end).^2);

First of all, I have to say that this is the most difficult exercise I have done since starting this course.

1.3 Feedforward and Cost Function

Neural Networks Representation

1.3 Vectorizing Logistic Regression

All right, I have already used the vectorized approach without any loops in the previous exercise.