コード例 #1
0
ファイル: neuron_test.py プロジェクト: rylans/nn-from-scratch
def test_3(steps):
    weights = 1
    print "Target converse {0}, {1} steps".format(weights, steps)
    neuron = Neuron(weights, sigm, sigmp, error)
    errors = []
    for i in range(steps):
        inputs = [random.random() for r in range(weights)]
        target = 1.0 - inputs[0]
        neuron.learn_1(inputs, target)
        errors.append(neuron.last_error)
    print report(errors)
コード例 #2
0
ファイル: neuron_test.py プロジェクト: rylans/nn-from-scratch
def test_1(steps):
    weights = 3
    print "Linear combination of weights {0}, {1} steps".format(weights, steps)
    neuron = Neuron(weights, sigm, sigmp, error)
    errors = []
    for i in range(steps):
        inputs = [random.random() for r in range(weights)]
        target = 2*inputs[0] + 0.3*inputs[1] - 0.7*inputs[2]
        neuron.learn_1(inputs, target)
        errors.append(neuron.last_error)
    print report(errors)
コード例 #3
0
ファイル: neuron_test.py プロジェクト: rylans/nn-from-scratch
def test_5(steps):
    weights = 40
    print "Target sqrt(avg) {0}, {1} steps".format(weights, steps)
    neuron = Neuron(weights, sigm, sigmp, error)
    errors = []
    for i in range(steps):
        inputs = [random.random() for r in range(weights)]
        avg = sum(inputs)/len(inputs)
        target = math.sqrt(avg)
        neuron.learn_1(inputs, target)
        errors.append(neuron.last_error)
    print report(errors)
コード例 #4
0
ファイル: neuron_test.py プロジェクト: rylans/nn-from-scratch
def test_4(steps):
    weights = 40
    print "Target max - min {0}, {1} steps".format(weights, steps)
    neuron = Neuron(weights, sigm, sigmp, error)
    errors = []
    for i in range(steps):
        inputs = [random.random() for r in range(weights)]
        imax = max(inputs)
        imin = min(inputs)
        target = imax - imin
        neuron.learn_1(inputs, target)
        errors.append(neuron.last_error)
    print report(errors)