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Updated 3 years ago
# This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
# Input data files are available in the read-only "../input/" directory
# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory
import os
for dirname, _, filenames in os.walk('/kaggle/input'):
for filename in filenames:
print(os.path.join(dirname, filename))
# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using "Save & Run All"
# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session
Define the imports
!pip install jovian
Requirement already satisfied: jovian in /opt/conda/lib/python3.7/site-packages (0.2.33)
Requirement already satisfied: uuid in /opt/conda/lib/python3.7/site-packages (from jovian) (1.30)
Requirement already satisfied: click in /opt/conda/lib/python3.7/site-packages (from jovian) (7.1.2)
Requirement already satisfied: requests in /opt/conda/lib/python3.7/site-packages (from jovian) (2.25.1)
Requirement already satisfied: pyyaml in /opt/conda/lib/python3.7/site-packages (from jovian) (5.3.1)
Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/conda/lib/python3.7/site-packages (from requests->jovian) (1.26.2)
Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.7/site-packages (from requests->jovian) (2020.12.5)
Requirement already satisfied: chardet<5,>=3.0.2 in /opt/conda/lib/python3.7/site-packages (from requests->jovian) (3.0.4)
Requirement already satisfied: idna<3,>=2.5 in /opt/conda/lib/python3.7/site-packages (from requests->jovian) (2.10)
import keras
from keras.datasets import fashion_mnist
import numpy as np
import matplotlib.pyplot as plt
from keras.models import Sequential,Model
from keras.layers import Dense, Conv2D, MaxPooling2D, GlobalAveragePooling2D
import scipy as sp
import jovian