<jupyter_start><jupyter_text>**Snake Classifier****<NAME>** **Load Dependencies**<jupyter_code>import keras
import pandas as pd
import numpy as np

from keras.models import Sequential
from keras.layers import Dropout, Dense, Flatten, Conv2D, MaxPooling2D 
from keras.layers.normalization import BatchNormalization 
from keras.optimizers import SGD

from numpy import expand_dims
from keras.preprocessing.image import ImageDataGenerator, load_img, img_to_array
from matplotlib import pyplot<jupyter_output><empty_output><jupyter_text>**Uploading Dataset using Kaggle API**<jupyter_code>!echo '{"username":"hholl19","key":"<KEY>"}' > ~/.kaggle/kaggle.json 
!kaggle datasets download -d hotsonhonet/hackerearths-snakes-in-the-hood
!unzip /content/hackerearths-snakes-in-the-hood.zip -d review

datagen = ImageDataGenerator(
        rotation_range=40,
        width_shift_range=0.2,
        height_shift_range=0.2,
        rescale=1./255,
        shear_range=0.2,
        zoom_range=0.2,
        horizontal_flip=True,
        fill_mode='nearest')<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.10727611940298508, 'fraction_numerical': 0.016791044776119403, 'mean_word_length': 5.131428571428572, 'pattern_counts': {'":': 2, '<': 11, '<?xml version=': 0, '>': 12, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '393107', 'license': 'MIT', 'n_tokens_mistral': 381, 'n_tokens_neox': 377, 'n_words': 72, 'path': 'Applied_Deep_Learning_Project_.ipynb', 'repo_name': 'hholl19/Deep-Learning-Project', 'size': '1106'}