Deep Learning with PyTorch

Creating data for our neural network

The get_data function in our first neural network code creates two variables, x and y, of sizes (17, 1) and (17). We will take a look at what happens inside the function:

def get_data():    train_X = np.asarray([3.3,4.4,5.5,6.71,6.93,4.168,9.779,6.182,7.59,2.167,                         7.042,10.791,5.313,7.997,5.654,9.27,3.1])    train_Y = np.asarray([1.7,2.76,2.09,3.19,1.694,1.573,3.366,2.596,2.53,1.221,                         2.827,3.465,1.65,2.904,2.42,2.94,1.3])    dtype = torch.FloatTensor    X = Variable(torch.from_numpy(train_X).type(dtype),requires_grad=False).view(17,1)    y = Variable(torch.from_numpy(train_Y).type(dtype),requires_grad=False)    return X,y