Sharma96

TypeError                                 Traceback (most recent call last)
<ipython-input-10-394d9d79c99b> in <module>()
     67 # training pipeline
     68 lr = 0.001
---> 69 logits = my_net(x, n_classes=n_classes)
     70 cross_entropy = tf.nn.sparse_softmax_cross_entropy_with_logits(logits=logits, labels=y)
     71 loss_function = tf.reduce_mean(cross_entropy)

<ipython-input-10-394d9d79c99b> in my_net(x, n_classes)
     42     drop2 = tf.nn.dropout(pool2, keep_prob=keep_prob)

Sharma96

import numpy as np
import os
import six.moves.urllib as urllib
import sys
import tarfile
import tensorflow as tf
import zipfile

from collections import defaultdict
from io import StringIO

Sharma96

#include<iostream>
#include<string>
#include<utility>
#include<unordered_map>
#include<map>
using namespace std;

bool is_per(string s, string s1) {
	if (s.length() != s1.length()) {
		//cout << "sdfg";

Sharma96

#include <iostream>
#include <queue>
#include <stdio.h>
#include <stdlib.h>
#include <utility>
#include <cstdio>
#define n 1001
using namespace std;
///char arr[1001][1001];

Sharma96

//consider dp[] to be a global array
int	minCoins(int	N,	int	M)
{		
        if(dp[N] !=	-1)	
            return	dp[N];							
        if	(N	==	0)
            return	0;							
        int	res	=	INF;	
        for(int i=0;i<M;i++){					
            if(coins[i]<=N){		

Sharma96

void fun(int n){
  if(n == 0)
    return;
  if(n>=1&&n<=5){
    fun(n-1);
  }
  else{
    fun(n/2);
  }
}

Sharma96

class Intermediate_table(models.Model):
    university = models.CharField(max_length=255);
    branch = models.CharField(max_length=255);
    sem = models.CharField(max_length=255);
    subject = models.CharField(max_length=255);
    year = models.CharField(max_length=255);
    user_id = models.CharField(max_length=255);
    old_url = models.CharField(max_length=255);
    new_url = models.CharField(max_length=255);
    status = models.BooleanField(max_length=255);

Sharma96

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          Collapsible Group Item #1
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