swarathesh

#Min Steps in Infinite GridBookmark Suggest Edit
import math as mat
def maxsteps(x,y):
    steps =0
    cov = (x[0],y[0])
    n = len(x)
    for i in range(1,n):
         
         diffX = mat.fabs(cov[0]-x[i])
         diffy = mat.fabs(cov[1]-y[i])

swarathesh

from tkinter import *
from tkinter import ttk
from PIL import ImageTk,Image
from tkinter.filedialog import askopenfilename
import cv2
import uuid
import time
import tkinter
import PIL.Image, PIL.ImageTk
from PIL import Image

swarathesh

def create_cnn( height, width, depth, filters=(16, 32, 64), regress=False):
       

        filters = np.asarray(filters)
        input_shape = (height, width, depth)
        chanDim = -1

      
        inputs = Input(shape=input_shape)

swarathesh

def create_mlp(dim, regress=False):
     
        model = Sequential()
        model.add(Dense(8, input_dim=dim, activation="relu"))
        model.add(Dense(4, activation="relu"))

        
        if regress:
            model.add(Dense(1, activation="linear"))