Machine Theory
epub |eng | 1980-11-13 | Author:Hofstadter, Douglas R., 1945-

( Category: Machine Theory November 14,2019 )
epub |eng | 2019-10-04 | Author:Subhashini Tripuraneni

function saveContact() { let contactInfo = {}; let fields = ["name", "title", "email", "phone", "organization", "address", "city", "state", "zip"]; fields.map(function(field) { let element = document.getElementById(field); if (element && element.value) { ...
( Category: Machine Theory November 11,2019 )
epub |eng | 2019-01-31 | Author:Ahirwar, Kailash;

( Category: Machine Theory November 9,2019 )
epub |eng | 2019-09-27 | Author:Ian Pointer

start_time = time.process_time() b.__getitem__(33) end_time = time.process_time() end_time - start_time >> 0.0031465259999094997 Obtaining an element from this dataset takes roughly the same time as in our original audio-based one, so ...
( Category: Machine Theory November 4,2019 )
epub |eng | | Author:By Audrey Tam & Matthijs Hollemans & By Matthijs Hollemans & By Chris LaPollo

When you run this code, coremltools goes through the Keras model layer-by-layer and prints its progress. You can also supply metadata, which can be helpful for the users of your ...
( Category: Machine Theory October 24,2019 )
epub |eng | 2019-02-28 | Author:Yuxi (Hayden) Liu; [Неизв.]

( Category: Machine Theory October 11,2019 )
epub |eng | 2018-09-12 | Author:Mather, Bob [Mather, Bob]

That little arrow on top represents this as a vector, but now… which vectors and don’t vectors come in pairs? Let’s address the “pairs” theory because you are technically right ...
( Category: Machine Theory October 9,2019 )
epub |eng | 2019-09-03 | Author:Matt Harrison

>>> from yellowbrick.model_selection import ( ... ValidationCurve, ... ) >>> fig, ax = plt.subplots(figsize=(6, 4)) >>> vc_viz = ValidationCurve( ... RandomForestClassifier(n_estimators=100), ... param_name="max_depth", ... param_range=np.arange(1, 11), ... cv=10, ... n_jobs=-1, ...
( Category: Machine Theory October 4,2019 )
epub |eng | 2019-09-12 | Author:Seth Weidman

mnist_soft = NeuralNetwork( layers=[Dense(neurons=89, activation=Tanh(), weight_init="glorot", dropout=0.8), Dense(neurons=10, activation=Linear(), weight_init="glorot")], loss = SoftmaxCrossEntropy(), seed=20190119) and training the model with the same hyperparameters as before (exponential weight decay from an initial ...
( Category: Machine Theory September 30,2019 )
epub |eng | 2019-04-30 | Author:Jesus Salcedo

As you can see, we have the same number of cases for each of these variables. The most important predictor ended up being the TVs variable, as we can see ...
( Category: Machine Theory September 30,2019 )
epub |eng | | Author:Brett Lantz

The correlation also seems to be substantially higher: > cor(p.cubist, wine_test$quality) [1] 0.6201015 Furthermore, the model slightly reduced the mean absolute error: > MAE(wine_test$quality, p.cubist) [1] 0.5339725 Although we did ...
( Category: Machine Theory September 24,2019 )
epub |eng | 2019-09-11 | Author:Abhishek Mishra

You are billed for the I/O units that you have reserved (or consumed) as well as an additional flat fee for data storage costs. For more information on the costs ...
( Category: Machine Theory September 17,2019 )
epub |eng | 2018-11-29 | Author:Xuanyi Chew [Xuanyi Chew]

( Category: Machine Theory August 7,2019 )
epub |eng | 2019-02-28 | Author:James Loy; [Неизв.]

INPUT_SIZE = 128 # Change this to 48 if the code takes too long to run vgg16 = VGG16(include_top=False, weights='imagenet', input_shape=(INPUT_SIZE,INPUT_SIZE,3)) Note that we used include_top=False when we created a ...
( Category: Neural Networks August 6,2019 )
epub |eng | 2019-07-02 | Author:David Foster

bash ./scripts/download_cyclegan_data.sh monet2photo This time we will use the parameter set shown in Example 5-7 to build the model: Example 5-7. Defining the Monet CycleGAN gan = CycleGAN( input_dim = ...
( Category: Machine Theory July 20,2019 )