TensorFlow-Machine-Learning-Cookbook-Second-Edition:TensorFlow机器...
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TensorFlow-Machine-Learning-Cookbook-Second-Edition:TensorFlow机器学习食谱第二版，由Packt发行 （220个子文件） 
base_tic_tac_toe_moves.csv 691B birthweight.dat 4KB 06_deepdream.ipynb 232KB 05_stylenet.ipynb 139KB 02_introductory_cnn.ipynb 102KB 06_using_word2vec.ipynb 94KB 03_implementing_tf_idf.ipynb 90KB 07_data_gathering.ipynb 87KB 03_cnn_cifar10.ipynb 87KB 04_svm_kernels.ipynb 86KB 02_bag_of_words.ipynb 84KB 05_nonlinear_svm.ipynb 80KB 06_multiclass_svm.ipynb 73KB 04_loss_functions.ipynb 71KB 02_linear_svm.ipynb 63KB 06_activation_functions.ipynb 60KB 05_seq2seq_translation.ipynb 59KB 07_improving_linear_regression.ipynb 55KB 08_logistic_regression.ipynb 53KB 03_support_vector_regression.ipynb 51KB 05_demming_regression.ipynb 51KB 06_siamese_similarity_driver.ipynb 49KB 03_implementing_lstm.ipynb 45KB 03_lin_reg_tensorflow_way.ipynb 45KB 06_lasso_and_ridge_regression.ipynb 43KB 04_single_hidden_layer_network.ipynb 40KB 07_combining_everything_together.ipynb 33KB 06_using_a_multiple_layer_network.ipynb 33KB 06_batch_stochastic_training.ipynb 31KB 04_lin_reg_l1_vs_l2.ipynb 29KB 08_evaluating_models.ipynb 28KB 03_activation_functions.ipynb 25KB 02_lin_reg_decomposition.ipynb 24KB 01_lin_reg_inverse.ipynb 24KB 05_Working_With_CBOW.ipynb 21KB 02_nearest_neighbor.ipynb 21KB 04_mixed_distance_functions_knn.ipynb 20KB 07_elasticnet_regression.ipynb 17KB 05_implementing_different_layers.ipynb 17KB 06_image_recognition.ipynb 17KB 05_back_propagation.ipynb 15KB 02_tensors.ipynb 13KB 01_How_TensorFlow_Works.ipynb 8KB 04_matrices.ipynb 7KB 05_address_matching.ipynb 7KB 03_multiple_layers.ipynb 7KB Introduction_to_Neural_Networks.ipynb 6KB 02_gates.ipynb 5KB 05_operations.ipynb 5KB 02_layering_nested_operations.ipynb 5KB 01_introduction.ipynb 5KB 03_placeholders.ipynb 4KB 03_text_distances.ipynb 4KB 01_operations_on_a_graph.ipynb 4KB
starry_night.jpg 549KB book_cover.jpg 91KB book_cover.jpg 91KB nearest_neighbor_intro.jpg 27KB file_structure.jpg 7KB LICENSE 1KB README.md 6KB readme.md 70B
05_stylenet_ex.png 1.04MB 06_deepdream_ex.png 785KB 01_tensorboard2.png 83KB 06_Similarity_RNN_Diagram.png 78KB 01_outline.png 74KB 01_RNN_Seq2Seq.png 73KB 04_L1_L2_learningrates.png 64KB 04_nn_layout.png 64KB 04_MultipleRNN_Architecture.png 64KB 03_Multiple_Layers.png 62KB 01_tensorboard1.png 60KB 08_tic_tac_toe_architecture.png 52KB 02_variable.png 48KB 05_cbow_model.png 44KB 01_RNN_Single_Target.png 44KB 04_skipgram_model.png 44KB 05_non_linear_svms.png 39KB 06_Similarity_RNN_Architecture.png 39KB 01_introduction.png 37KB 06_word2vec_loss.png 37KB 01_intro_cnn.png 36KB 06_word2vec_acc.png 35KB image.png 31KB image.png 31KB image.png 31KB image.png 31KB image.png 31KB 02_cnn1_mnist_output.png 30KB 04_linear_svm_gaussian.png 29KB 02_cnn1_loss_acc.png 29KB 04_nonlinear_data_linear_kernel.png 27KB 05_demming_vs_linear_reg.png 27KB 02_RNN_Spam_Acc_Loss.png 27KB 02_operational_gates.png 26KB 06_Similarity_RNN.png 26KB 03_kmeans.png 25KB 02_Multiple_Operations.png 24KB 04_nn_loss.png 24KB共 220 条
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