deep-learning-projects-

deep learning book

to download and unzip datasets using colab to gdrive

#first to mount the google drive
from google.colab import drive
drive.mount('/content/drive')

import requests
file_url = "datasets url"
    
r = requests.get(file_url, stream = True,verify = False) 
  
with open("path to download in", "wb") as file: 
    for block in r.iter_content(chunk_size = 1024):
         if block: 
             file.write(block) 
             
             
             
!unzip path_to_file.zip -d path_to_directory

to plot model in tensorflow 2.x

from tensorflow.python.keras.utils.vis_utils import plot_model
plot_model(model, show_shapes=True, show_layer_names=True, to_file='model.png')

to download folder or file from google drive to kaggle

pip install gdown

import gdown

url = 'https://drive.google.com/uc?id=1B6_rtcmGRy49hqpwoJT-_Ujnt6cYj5Ba'
# output file should have the same extention as original file
output = 'file.npy'

gdown.download(url, output, quiet=False)

to delete folders and files in kaggle or any use the following:

import shutil
import os
os.remove('path') #is to remove a file.
os.rmdir('path') #is to remove an empty directory.
shutil.rmtree('path') #is to delete a directory and all its contents