AI4Code Custom Data

Additional Data for AI4Code Competition

@kaggle.odins0n_ai4code_custom_data

Data

@kaggle.odins0n_ai4code_custom_data.data

source Source	cell_type Cell Type	rank Rank	pct_rank Pct Rank
Process Data	markdown
import os print(os.listdir('../input/sasuke'))	code	1	0.0909090909090909
from PIL import Image import matplotlib.pyplot as plt	code	2	0.1818181818181818
img = Image.open('../input/sasuke/.jpg') img = img.resize((224,224)) plt.imshow(img)	code	3	0.2727272727272727
import numpy as np test_x = np.array(img) / 255.0 print(test_x.shape)	code	4	0.3636363636363636
test_x = test_x.reshape(1,224,224,3)	code	5	0.4545454545454545
Load Model	markdown	6	0.5454545454545454
Import Model #from tensorflow.keras.applications import VGG16 #from tensorflow.keras.applications import ResNet101V2 from tensorflow.keras.applications import InceptionV3 #from tensorflow.keras.applications.vgg16 import preprocess_input, decode_predictions #from tensorflow.keras.applications.resn…	code	7	0.6363636363636364
Prediction	markdown	8	0.7272727272727273
model prediction preds = model.predict(test_x) # decode prediction dec_preds = decode_predictions(preds, top=3)[0] print('Predicted:', dec_preds)	code	9	0.8181818181818182


CREATE TABLE data (
  "source" VARCHAR,
  "cell_type" VARCHAR,
  "rank" BIGINT,
  "pct_rank" DOUBLE,
  "notebook_id" BIGINT
);