fhrzn

from torch.utils.data import DataLoader
from datasets import load_dataset


datasets = load_dataset('imagefolder', data_dir='../input/shoe-vs-sandal-vs-boot-dataset-15k-images/Shoe vs Sandal vs Boot Dataset')
datasets = datasets['train'].train_test_split(test_size=.2, seed=42)

datasets_split = datasets['train'].train_test_split(test_size=.2, seed=42)
datasets['train'] = datasets_split['train']
datasets['validation'] = datasets_split['test']

fhrzn

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

fhrzn

<?xml version="1.0" encoding="utf-8"?>
<RelativeLayout xmlns:android="http://schemas.android.com/apk/res/android"
    xmlns:app="http://schemas.android.com/apk/res-auto"
    xmlns:tools="http://schemas.android.com/tools"
    android:layout_width="match_parent"
    android:layout_height="match_parent"
    android:background="#3ed45f"
    tools:context=".Notifikasi.NotifikasiActivity">

    <TextView

fhrzn

public class FirebaseCloudMessagingService extends FirebaseMessagingService {

    public String TAG = "FIREBASE MESSAGING";

    @Override
    public void onMessageReceived(RemoteMessage remoteMessage) {

        Log.d(TAG, "From: " + remoteMessage.getFrom());

        if (remoteMessage.getData().size() > 0) {