mohitd

import numpy as np
from torchvision import datasets
from matplotlib import pyplot as plt

np.random.seed(42)

class Sigmoid:
    @staticmethod
    def forward(z):
        return 1. / (1. + np.exp(-z))

mohitd

import matplotlib.pyplot as plt
from sklearn import datasets
import numpy as np

# fix the seed for determinism
np.random.seed(42)

def cost(pred, true):
    return 0.5 * (true - pred) ** 2

mohitd

#include <iostream>
#include <memory>

struct Data {
    virtual ~Data() = default;
};

struct TcpData : public Data {
    int x;
};

mohitd

#include <iostream>

struct Point2 {
    float x, y;
};

template<std::size_t I, typename T>
struct CoordGetter;

template<>

mohitd

0000083d <func()>:
Widget func() {
 83d:	55                   	push   ebp
 83e:	89 e5                	mov    ebp,esp
 840:	56                   	push   esi
 841:	53                   	push   ebx
 842:	83 ec 20             	sub    esp,0x20
 845:	e8 e2 02 00 00       	call   b2c <__x86.get_pc_thunk.si>
 84a:	81 c6 6a 27 00 00    	add    esi,0x276a
; CDECL setup stuff

mohitd

// SPDX-License-Identifier: GPL-2.0
/*
 * Many of the syscalls used in this file expect some of the arguments
 * to be __user pointers not __kernel pointers.  To limit the sparse
 * noise, turn off sparse checking for this file.
 */
#ifdef __CHECKER__
#undef __CHECKER__
#warning "Sparse checking disabled for this file"
#endif

mohitd

THE SONNETS

by William Shakespeare




  I

  From fairest creatures we desire increase,