Zhao Wei Liew zwliew

Lesson 1 - Image Classification

It pays to think creatively. Specifically, can something be modelled as an image that can be fed into a neural network for training?
Create a Python PoxisPath from a filename via the prefix path/.
Each data set should comprise a training set and a validation set. The validation loss should usually be slightly higher than the training loss.
The fastai library supports loading data sets into ImageDataBunch's from DataFrames (from_df), CSVs (from_csv), file name regex (from_name_re), file name functions (from_name_func), from folder names (from_folder), and from Python lists (from_lists).
ImageDataBunch.classes can generally be thought of as the number of labels.
ImageDataBunch.show_batch gives us a quick look at the data. This is useful to get a feel of the data before training the model.

	#include <nmmintrin.h>
	#include <string.h>

	#define HAVE_SSE4_2

	static const char ___m128i_shift_right[31] =
	{
	0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,
	-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1
	};

	class IntroductionActivityTest {
	@Before
	public void setUp() {
	Intents.init();
	}

	@After
	public void tearDown() {
	Intents.release();
	}

	class IntroductionActivityTest {
	// Rest of the class

	@Test
	public void onClickButton_showsMainActivity() {
	onView(withId(R.id.single_intro_end_button)).perform(click());
	intended(hasComponent(MainActivity.class.getName()));
	}
	}

	class IntroductionActivityTest {
	// Rest of the class

	@Test
	public void onLaunch_displaysAllViews() {
	onView(withId(R.id.single_intro_text)).check(matches(isDisplayed()));
	onView(withId(R.id.single_intro_end_button)).check(matches(isDisplayed()));
	}
	}

	public class IntroductionActivityTest {
	@Rule
	public final ActivityScenarioRule<IntroductionActivity> scenarioRule
	= new ActivityScenarioRule<>(IntroductionActivity.class);

	// ...Rest of the class...
	}

	import androidx.test.espresso.intent.Intents;
	import androidx.test.ext.junit.rules.ActivityScenarioRule;
	import androidx.test.ext.junit.runners.AndroidJUnit4;

	import org.junit.After;
	import org.junit.Before;
	import org.junit.Rule;
	import org.junit.Test;
	import org.junit.runner.RunWith;

	public class GreeterTest {
	@Test
	public void greeterSaysHello() {
	onView(withId(R.id.name_field)).perform(typeText("Steve"));
	onView(withId(R.id.greet_button)).perform(click());
	onView(withText("Hello Steve!")).check(matches(isDisplayed()));
	}
	}

	dependencies {
	// ...Other app dependencies...

	// Tests
	def espresso_version = '3.1.1'
	implementation "androidx.test.espresso:espresso-idling-resource:$espresso_version"

	// On-device tests
	androidTestImplementation "androidx.test.espresso:espresso-core:$espresso_version"
	androidTestImplementation "androidx.test.espresso:espresso-intents:$espresso_version"