MCPcopy Create free account

hub / github.com/csawtelle/udemy-machine-learning-examples / functions

Functions1,092 in github.com/csawtelle/udemy-machine-learning-examples

⨍ Functions 1,092◇ Types & classes 147
↓ 2 callersMethodfit
(self, X, Y)
supervised_class/dt.py:26
↓ 2 callersMethodfit
(self, X, Y, activation=T.tanh, learning_rate=10e-4, mu=0.5, reg=0, epochs=5000, batch_sz=None, print_period=1
airline/ann.py:41
↓ 2 callersFunctionflatten
(X)
cnn_class/benchmark.py:32
↓ 2 callersFunctionforward
(X, W1, b1, W2, b2)
ann_class/batch_donut.py:17
↓ 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)
ann_class2/dropout_theano.py:29
↓ 2 callersMethodforward
(self, X)
ann_class2/dropout_tensorflow.py:100
↓ 2 callersMethodforward
(self, X)
cnn_class/cifar.py:211
↓ 2 callersMethodforward
(self, X)
rnn_class/mlp_parity.py:107
↓ 2 callersMethodforward
(self, X)
rl2/atari/dqn_theano.py:98
↓ 2 callersMethodforward
(self, X)
rl2/atari/dqn_tf_alt.py:86
↓ 2 callersMethodforward
(self, X)
rl2/cartpole/pg_theano.py:32
↓ 2 callersMethodforward
(self, X)
rl2/cartpole/pg_tf.py:29
↓ 2 callersMethodforward
(self, X)
unsupervised_class2/vanishing.py:112
↓ 2 callersMethodforward
(self, X)
unsupervised_class2/autoencoder.py:198
↓ 2 callersMethodforward
(self, X)
airline/ann.py:118
↓ 2 callersMethodforward_hidden
(self, X)
unsupervised_class2/rbm.py:101
↓ 2 callersMethodforward_hidden
(self, X)
unsupervised_class2/autoencoder.py:91
↓ 2 callersMethodforward_logits
(self, X)
unsupervised_class2/rbm_tf.py:108
↓ 2 callersMethodforward_logits
(self, X)
unsupervised_class2/autoencoder_tf.py:83
↓ 2 callersMethodforward_predict
(self, X)
ann_class2/dropout_theano.py:144
↓ 2 callersMethodfree_energy
(self, V)
unsupervised_class2/rbm_tf.py:92
↓ 2 callersMethodfree_energy
(self, V)
unsupervised_class2/rbm.py:88
↓ 2 callersMethodg_forward
(self, Z, reuse=None, is_training=True)
unsupervised_class3/dcgan_tf.py:373
↓ 2 callersMethodg_forward
(self, Z, is_training)
unsupervised_class3/dcgan_theano.py:440
↓ 2 callersFunctionget_binary_data
()
ann_logistic_extra/process.py:46
↓ 2 callersFunctionget_data
(split_sequences=False)
nlp_class2/ner_baseline.py:12
↓ 2 callersMethodget_ht
(self, xWxr_t, xWxz_t, xWxh_t, h_t1)
rnn_class/batch_gru.py:41
↓ 2 callersFunctionget_labels
(tree)
nlp_class2/recursive_tensorflow.py:16
↓ 2 callersFunctionget_labels
(tree)
nlp_class2/rntn_tensorflow.py:27
↓ 2 callersFunctionget_mse
(Y, Yhat)
linear_regression_class/overfitting.py:45
↓ 2 callersMethodget_output
(self, tree)
nlp_class2/recursive_tensorflow.py:155
↓ 2 callersMethodget_output
(self, tree)
nlp_class2/rntn_tensorflow.py:180
↓ 2 callersFunctionget_sentences
()
rnn_class/brown.py:11
↓ 2 callersFunctionget_simple_data
()
unsupervised_class/kmeans.py:70
↓ 2 callersFunctionget_spiral
()
ann_class2/util.py:34
↓ 2 callersFunctionget_transformed_data
()
ann_class2/util.py:70
↓ 2 callersFunctioninit_filter
(shape, poolsz)
cnn_class/cnn_tf.py:34
↓ 2 callersMethodinit_random
(self, X)
hmm_class/hmmc_tf.py:29
↓ 2 callersMethodinit_vars
(self)
rl2/mountaincar/pg_tf_random.py:106
↓ 2 callersFunctioninit_weight_and_bias
(M1, M2)
cnn_class/cifar.py:17
↓ 2 callersMethodis_terminal
(self, s)
rl/grid_world.py:26
↓ 2 callersFunctionlist2pdict
(ts)
hmm_class/frost.py:49
↓ 2 callersMethodlog_likelihood
(self, x)
hmm_class/hmmc_scaled_concat.py:174
↓ 2 callersMethodlog_likelihood
(self, x)
hmm_class/hmmc_scaled_concat_diag.py:171
↓ 2 callersMethodlog_likelihood_multi
(self, X)
hmm_class/hmmc_scaled_concat.py:195
↓ 2 callersMethodlog_likelihood_multi
(self, X)
hmm_class/hmmc_scaled_concat_diag.py:192
↓ 2 callersMethodlog_likelihood_multi
(self, X)
hmm_class/hmmc.py:194
↓ 2 callersMethodlog_likelihood_multi
(self, X)
hmm_class/hmmc_concat.py:196
↓ 2 callersMethodlog_likelihood_multi
(self, X)
hmm_class/hmmd.py:153
↓ 2 callersMethodlog_likelihood_multi
(self, X)
hmm_class/hmmd_scaled.py:136
↓ 2 callersFunctionloglikelihood
(X, Z, W)
bayesian_ml/2/em.py:25
↓ 2 callersFunctionmake_poly
(x, D)
supervised_class2/bias_variance_demo.py:17
↓ 2 callersFunctionmy_tokenizer
(s)
nlp_class/sentiment.py:48
↓ 2 callersMethodpartial_fit
(self, X, Y)
rl2/mountaincar/n_step.py:33
↓ 2 callersMethodpartial_fit
(self, X, Y)
rl2/cartpole/pg_theano.py:162
↓ 2 callersFunctionplay_game
(p1, p2, env, draw=False)
rl/tic_tac_toe.py:369
↓ 2 callersFunctionplay_game
(grid, policy)
rl/td0_prediction.py:24
↓ 2 callersFunctionplay_game
(grid, policy)
rl/monte_carlo_random.py:24
↓ 2 callersFunctionplay_multiple_episodes
(env, T, pmodel, gamma, print_iters=False)
rl2/mountaincar/pg_tf_random.py:189
↓ 2 callersFunctionplay_multiple_episodes
(env, T, pmodel, gamma, print_iters=False)
rl2/mountaincar/pg_theano_random.py:160
↓ 2 callersFunctionplay_multiple_episodes
(env, T, params)
rl2/cartpole/random_search.py:33
↓ 2 callersFunctionplay_one_episode
(env, params)
rl2/cartpole/save_a_video.py:18
↓ 2 callersFunctionplot_decision_boundary
(X, model)
supervised_class2/util.py:7
↓ 2 callersFunctionplot_image
(x, Q, title)
bayesian_ml/1/nb.py:109
↓ 2 callersMethodposterior_predictive_sample
(self, X)
unsupervised_class3/vae_tf.py:200
↓ 2 callersFunctionpredict
(X, W1, b1, W2, b2)
ann_class/xor_donut.py:29
↓ 2 callersFunctionpredict
(P_Y_given_X)
ann_logistic_extra/logistic_softmax_train.py:40
↓ 2 callersFunctionpredict
(P_Y_given_X)
ann_logistic_extra/ann_train.py:44
↓ 2 callersMethodpredict
(self, X)
unsupervised_class3/autoencoder_tf.py:65
↓ 2 callersMethodpredict
(self, states)
rl2/atari/dqn_tf.py:127
↓ 2 callersMethodpredict
(self, X)
rl2/atari/dqn_theano.py:207
↓ 2 callersMethodpredict
(self, X)
rl2/atari/dqn_tf_alt.py:189
↓ 2 callersMethodpredict
(self, s)
rl2/mountaincar/td_lambda.py:52
↓ 2 callersMethodpredict
(self, s)
rl2/cartpole/q_learning.py:74
↓ 2 callersMethodpredict
(self, s)
rl2/cartpole/q_learning_bins.py:60
↓ 2 callersMethodpredict
(self, X)
rl2/cartpole/dqn_tf.py:104
↓ 2 callersMethodpredict
(self, X)
rl2/cartpole/dqn_theano.py:127
↓ 2 callersMethodpredict
(self, s)
rl2/cartpole/td_lambda.py:52
↓ 2 callersMethodpredict
(self, X)
unsupervised_class2/autoencoder_tf.py:73
↓ 2 callersMethodpredict
(self, X)
supervised_class/perceptron.py:56
↓ 2 callersMethodpredict_proba
(self, X)
bayesian_ml/2/probit.py:51
↓ 2 callersMethodprior_predictive_sample_with_probs
(self)
unsupervised_class3/vae_tf.py:204
↓ 2 callersMethodpull
(self)
ab_testing/bayesian_bandit.py:19
↓ 2 callersMethodpull
(self)
rl/comparing_explore_exploit_methods.py:23
↓ 2 callersFunctionrandom_action
(a, eps=0.1)
rl/monte_carlo_no_es.py:15
↓ 2 callersFunctionrandom_normalized
(d1, d2)
hmm_class/hmmd_theano.py:11
↓ 2 callersFunctionrandom_normalized
(d1, d2)
hmm_class/hmmd.py:9
↓ 2 callersFunctionrandom_normalized
(d1, d2)
hmm_class/hmmd_scaled.py:9
↓ 2 callersFunctionrearrange
(X)
cnn_class/cnn_tf.py:39
↓ 2 callersFunctionrearrange
(X)
rnn_class/renet_mnist.py:37
↓ 2 callersFunctionrearrange
(X)
rnn_class/renet.py:45
↓ 2 callersMethodrecurrence
(self, x_t, h_tm1)
rnn_class/renet.py:87
↓ 2 callersFunctionremove_punctuation
(s)
rnn_class/util.py:48
↓ 2 callersFunctionrenet_layer_lr
(X, Wx, Wh, Wo, Bh, Bo, H0, w, h, wp, hp)
rnn_class/renet_mnist.py:46
↓ 2 callersFunctionrenet_layer_ud
(X, Wx, Wh, Wo, Bh, Bo, H0, w, h, wp, hp)
rnn_class/renet_mnist.py:81
↓ 2 callersFunctionrenet_layer_ud_allscan
(X, rnn1, rnn2, w, h, wp, hp)
rnn_class/renet.py:190
↓ 2 callersFunctions2x
(s)
rl/approx_mc_prediction.py:57
← previousnext →201–300 of 1,092, ranked by callers