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Functions1,905 in github.com/lazyprogrammer/machine_learning_examples

⨍ Functions 1,905◇ Types & classes 254↳ Endpoints 4
↓ 2 callersFunctioncross_entropy
(T, Y)
logistic_regression_class/logistic2.py:49
↓ 2 callersFunctioncross_entropy
(Y, pY)
ann_logistic_extra/logistic_softmax_train.py:47
↓ 2 callersFunctioncross_entropy
(Y, pY)
ann_logistic_extra/ann_train.py:51
↓ 2 callersFunctioncross_entropy
(T, pY)
ann_logistic_extra/logistic_train.py:33
↓ 2 callersMethodd_forward
(self, X, reuse=None, is_training=True)
unsupervised_class3/dcgan_tf.py:301
↓ 2 callersMethodd_forward
(self, X, is_training)
unsupervised_class3/dcgan_theano.py:382
↓ 2 callersFunctionderivative_b1
(Z, T, Y, W2)
ann_class/xor_donut.py:55
↓ 2 callersFunctionderivative_b2
(T, Y)
ann_class/xor_donut.py:44
↓ 2 callersFunctionderivative_w1
(X, Z, T, Y, W2)
ann_class/xor_donut.py:48
↓ 2 callersFunctionderivative_w2
(Z, T, Y)
ann_class/xor_donut.py:40
↓ 2 callersFunctiondiscount_with_dones
(rewards, dones, gamma)
rl3/a2c/a2c.py:30
↓ 2 callersFunctiondot2
(H, W)
recommenders/rbm_tf_k_faster.py:27
↓ 2 callersFunctionepsilon_greedy
(Q, s, eps=0.1)
rl/sarsa.py:20
↓ 2 callersFunctionepsilon_greedy
(policy, s, eps=0.1)
rl/monte_carlo_no_es.py:20
↓ 2 callersFunctionerror_rate
(p, t)
ann_class2/tf_with_save.py:18
↓ 2 callersFunctionextract_images
Extract the images into a 4D uint8 numpy array [index, y, x, depth].
tensorflow/input_data.py:24
↓ 2 callersFunctionextract_labels
Extract the labels into a 1D uint8 numpy array [index].
tensorflow/input_data.py:47
↓ 2 callersFunctionf
(X)
supervised_class2/bias_variance_demo.py:32
↓ 2 callersMethodf1_score
(self, trees)
nlp_class2/rntn_tensorflow_rnn.py:245
↓ 2 callersMethodf1_score
(self, trees)
nlp_class2/rntn_theano.py:240
↓ 2 callersFunctionfit
(X, Y)
linear_regression_class/overfitting.py:23
↓ 2 callersMethodfit
(self, X, max_iter=25, eps=1e-1)
hmm_class/hmmc_scaled_concat.py:26
↓ 2 callersMethodfit
(self, X, max_iter=25, eps=1e-1)
hmm_class/hmmc_scaled_concat_diag.py:27
↓ 2 callersMethodfit
(self, X, max_iter=30, eps=1e0)
hmm_class/hmmc_concat.py:29
↓ 2 callersMethodfit
(self, X, learning_rate=1e-2, max_iter=10)
hmm_class/hmmc_theano.py:30
↓ 2 callersMethodfit
(self, X, learning_rate=1e-2, max_iter=10)
hmm_class/hmmc_theano2.py:32
↓ 2 callersMethodfit
(self, X, max_iter=10)
hmm_class/hmmc_tf.py:143
↓ 2 callersMethodfit
(self, X, Y, learning_rate=1e-2, mu=0.99, reg=1e-12, epochs=400, batch_sz=20, print_period=1, show_fig=False)
rnn_class/mlp_parity.py:37
↓ 2 callersMethodfit
(self, X, learning_rate=1., mu=0.99, reg=1.0, activation=T.tanh, epochs=500, show_fig=False)
rnn_class/srn_language.py:25
↓ 2 callersMethodfit
(self, data)
nlp_class2/bow_classifier.py:53
↓ 2 callersMethodfit
(self, X, Y)
supervised_class2/bagging_classification.py:56
↓ 2 callersMethodfit
(self, X, Y)
supervised_class2/bagging_regression.py:42
↓ 2 callersMethodfit
(self, X)
unsupervised_class3/dcgan_theano.py:506
↓ 2 callersMethodfit
(self, X, Y, sigma=1.5, lam=1, show_w=set(), Q=None)
bayesian_ml/2/probit.py:12
↓ 2 callersMethodfit
(self, X, Y, smoothing=1e-2)
unsupervised_class2/gaussian_nb.py:19
↓ 2 callersMethodfit
(self, X, pretrain_epochs=1)
unsupervised_class2/unsupervised.py:31
↓ 2 callersMethodfit
(self, X, Y)
supervised_class/dt.py:35
↓ 2 callersMethodfit
(self, X, Y)
supervised_class/dt_without_recursion.py:41
↓ 2 callersFunctionflatten
(X)
cnn_class/benchmark.py:24
↓ 2 callersFunctionflatten
(l)
nlp_class2/pos_tf.py:101
↓ 2 callersFunctionflatten
(l)
nlp_class2/ner_tf.py:73
↓ 2 callersFunctionflatten
(l)
nlp_class2/pos_rnn.py:152
↓ 2 callersFunctionforward
(X)
ann_class/regression.py:52
↓ 2 callersFunctionforward
(X, W, b)
ann_logistic_extra/logistic_softmax_train.py:37
↓ 2 callersFunctionforward
(X, W1, b1, W2, b2)
ann_logistic_extra/ann_train.py:40
↓ 2 callersFunctionforward
(X, W, b)
ann_logistic_extra/logistic_train.py:25
↓ 2 callersMethodforward
(self, X)
rl3/flappy2envs.py:88
↓ 2 callersMethodforward
(self, X)
ann_class2/dropout_theano.py:46
↓ 2 callersMethodforward
(self, X, is_training)
ann_class2/batch_norm_theano.py:196
↓ 2 callersMethodforward
(self, X, is_training)
ann_class2/batch_norm_tf.py:168
↓ 2 callersMethodforward
(self, X)
ann_class2/dropout_tensorflow.py:110
↓ 2 callersMethodforward
(self, X)
cnn_class/cifar.py:211
↓ 2 callersMethodforward
(self, X)
rnn_class/mlp_parity.py:111
↓ 2 callersMethodforward
(self, X)
rl2/atari/dqn_theano.py:219
↓ 2 callersMethodforward
(self, X)
rl2/cartpole/pg_theano.py:36
↓ 2 callersMethodforward
(self, X)
rl2/cartpole/pg_tf.py:36
↓ 2 callersMethodforward
(self, X)
unsupervised_class2/vanishing.py:113
↓ 2 callersMethodforward
(self, X)
unsupervised_class2/autoencoder.py:219
↓ 2 callersMethodforward
(self, X)
airline/ann.py:118
↓ 2 callersMethodforward_hidden
(self, X)
unsupervised_class2/rbm.py:102
↓ 2 callersMethodforward_hidden
(self, X)
unsupervised_class2/autoencoder.py:112
↓ 2 callersMethodforward_logits
(self, X)
unsupervised_class2/rbm_tf.py:108
↓ 2 callersMethodforward_logits
(self, X)
unsupervised_class2/autoencoder_tf.py:86
↓ 2 callersMethodforward_logits
(self, X)
recommenders/rbm_tf_k.py:219
↓ 2 callersMethodforward_logits
(self, X)
recommenders/rbm_tf_k_faster.py:185
↓ 2 callersMethodforward_predict
(self, X)
ann_class2/dropout_theano.py:134
↓ 2 callersMethodforward_test
(self, X)
ann_class2/dropout_tensorflow.py:120
↓ 2 callersMethodfree_energy
(self, V)
unsupervised_class2/rbm_tf.py:92
↓ 2 callersMethodfree_energy
(self, V)
unsupervised_class2/rbm.py:89
↓ 2 callersMethodfree_energy
(self, V)
recommenders/rbm_tf_k.py:207
↓ 2 callersMethodfree_energy
(self, V)
recommenders/rbm_tf_k_faster.py:173
↓ 2 callersMethodg_forward
(self, Z, reuse=None, is_training=True)
unsupervised_class3/dcgan_tf.py:375
↓ 2 callersMethodg_forward
(self, Z, is_training)
unsupervised_class3/dcgan_theano.py:468
↓ 2 callersFunctiongetKaggleFashionMNIST
()
keras_examples/util.py:18
↓ 2 callersFunctiongetKaggleFashionMNIST3D
()
keras_examples/util.py:43
↓ 2 callersFunctiongetMNISTFormat
(path)
keras_examples/util.py:22
↓ 2 callersFunctionget_action
(s, noise_scale)
rl3/ddpg.py:185
↓ 2 callersFunctionget_binary_data
()
ann_logistic_extra/process.py:69
↓ 2 callersFunctionget_confusion_matrix
(data_path, N)
cnn_class2/use_pretrained_weights_resnet.py:138
↓ 2 callersFunctionget_confusion_matrix
(data_path, N)
cnn_class2/use_pretrained_weights_vgg.py:136
↓ 2 callersFunctionget_data
(split_sequences=False)
nlp_class2/ner_baseline.py:18
↓ 2 callersFunctionget_data
(challenge_type)
nlp_class3/memory_network.py:159
↓ 2 callersFunctionget_data
(limit=None)
unsupervised_class/kmeans_mnist.py:22
↓ 2 callersFunctionget_donut
()
svm_class/util.py:85
↓ 2 callersMethodget_ht
(self, xWxh_t, h_t1)
rnn_class/batch_units.py:36
↓ 2 callersMethodget_ht
(self, xWxr_t, xWxz_t, xWxh_t, h_t1)
rnn_class/batch_units.py:93
↓ 2 callersMethodget_ht
(self, xWxr_t, xWxz_t, xWxh_t, h_t1)
rnn_class/batch_gru.py:47
↓ 2 callersMethodget_ht_ct
(self, xWxi_t, xWxf_t, xWxc_t, xWxo_t, h_t1, c_t1)
rnn_class/batch_units.py:189
↓ 2 callersFunctionget_labels
(tree)
nlp_class2/recursive_tensorflow.py:24
↓ 2 callersFunctionget_labels
(tree)
nlp_class2/rntn_tensorflow.py:33
↓ 2 callersFunctionget_log_likelihood
(T, Y)
ann_class/xor_donut.py:62
↓ 2 callersFunctionget_loss
(m2u)
recommenders/mf2.py:79
↓ 2 callersFunctionget_loss
(d)
recommenders/mf.py:55
↓ 2 callersFunctionget_mse
(Y, Yhat)
linear_regression_class/overfitting.py:50
↓ 2 callersMethodget_next_state
(self, s, a)
rl/grid_world.py:43
↓ 2 callersMethodget_observation
(self)
rl3/flappy2envs.py:42
↓ 2 callersMethodget_observation
(self)
rl3/es_flappy.py:48
↓ 2 callersMethodget_output
(self, tree)
nlp_class2/recursive_tensorflow.py:171
↓ 2 callersMethodget_output
(self, tree)
nlp_class2/rntn_tensorflow.py:186
↓ 2 callersMethodget_params
(self)
cnn_class2/tf_resnet_first_layers.py:51
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