<jupyter_start><jupyter_text><jupyter_code>import pandas as pd
import numpy as np
import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Conv2D, MaxPool2D, Dense, Flatten, Dropout
from tensorflow.keras.utils import to_categorical

%load_ext tensorboard
cd '/content/drive/My Drive/Colab Notebooks/matrix/matrix_three/dw_matrix_road-sign'<jupyter_output>/content/drive/My Drive/Colab Notebooks/matrix/matrix_three/dw_matrix_road-sign
{'fraction_non_alphanumeric': 0.07644628099173553, 'fraction_numerical': 0.004132231404958678, 'mean_word_length': 7.220338983050848, 'pattern_counts': {'":': 0, '<': 4, '<?xml version=': 0, '>': 4, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '392696', 'license': 'MIT', 'n_tokens_mistral': 166, 'n_tokens_neox': 161, 'n_words': 36, 'path': 'day3.ipynb', 'repo_name': 'Eskalot/dw_matrix_car', 'size': '484'}