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Ikea:
Lidkullen Sit/Stand Stool - https://www.ikea.com/ca/en/p/lidkullen-sit-stand-support-gunnared-dark-gray-50445787/
Bekant Sit/Stand Corner Desk - https://www.ikea.com/ca/en/p/bekant-corner-desk-right-sit-stand-linoleum-blue-black-s59282366/
Amazon:
Anti Fatigue Standing Mat - https://www.amazon.ca/gp/product/B07KKRQXZJ/ref=ppx_yo_dt_b_asin_title_o02_s00?ie=UTF8&psc=1
Portably Laptop Stand - https://www.amazon.ca/gp/product/B075T8SQYP/ref=ppx_yo_dt_b_asin_title_o01_s00?ie=UTF8&psc=1
Standing Desk Converter - https://www.amazon.ca/gp/product/B075JYG2TB/ref=ppx_yo_dt_b_asin_title_o03_s00?ie=UTF8&psc=1
Accessory Organizer - https://www.amazon.ca/gp/product/B07M5YSLDM/ref=ppx_yo_dt_b_asin_title_o06_s00?ie=UTF8&psc=1
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gogococo / hotdog-or-not-hotdog.py
Last active April 13, 2023 20:00
Code sample used as is for the beginning of Build On Weekly. Dataset: https://www.kaggle.com/datasets/dansbecker/hot-dog-not-hot-dog Tutorial:
import tensorflow
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Conv2D, Flatten
import numpy as np
import os
import cv2
# Configuration
img_width, img_height = 100, 100
input_shape = (img_width, img_height, 1)
import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Conv2D, Flatten, MaxPooling2D, Dropout
from tensorflow.keras.preprocessing.image import ImageDataGenerator
import numpy as np
import os
import cv2
# Configuration
img_width, img_height = 224, 224