deep-learning-keras-tf-tutorial:通过这个全面的深度学习教程系列，使用tensorflow2.0，...
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deep-learning-keras-tf-tutorial-master.zip （62个子文件） 
deep-learning-keras-tf-tutorial-master 12_precision_recall 
12_precision_recall.ipynb 19KB 13_dropout_layer dropout_regularization_ann.ipynb 60KB sonar_dataset.csv 86KB 5_loss 5_loss_or_cost_function.ipynb 8KB loss_function_exercise_solution.ipynb 3KB 16_cnn_cifar10_small_image_classification 
digits_nn.jpg 113KB cnn_cifar10_dataset.ipynb 41KB small_images.jpg 93KB cnn_mnist_exercise_solution.ipynb 15KB 7_nn_from_scratch 7_neural_network_from_scratch.ipynb 106KB nn.jpg 40KB insurance_data.csv 231B 1_digits_recognition digits_recognition_neural_network.ipynb 121KB digits_nn.jpg 113KB 3_derivatives derivatives_answer.jpg 42KB derivatives_question.jpg 36KB derivatives_exercise.md 1KB derivatives_exercise_solution.md 27B 8_sgd_vs_gd mini_batch_gd.ipynb 25KB hp.jpg 21KB gd_and_sgd.ipynb 46KB homeprices.csv 124B homeprices_banglore.csv 229B gradient_descent.ipynb 46KB mini_batch_gd_exercise_solution.ipynb 3KB gradient_descent.py 588B 6_gradient_descent 6_gradient_descent.ipynb 660KB
nn.png 40KB insurance_data.csv 231B 18_transfer_learning cnn_transfer_learning.ipynb 774KB goldfish.jpg 47KB
ImageNetLabels.txt 10KB 9_tensorboard digits_recognition_neural_network_tensorboard_demo.ipynb 40KB 14_imbalanced handling_imbalanced_data_exercise_solution_telecom_churn.ipynb 137KB customer_churn.csv 948KB handling_imbalanced_data.ipynb 224KB handling_imbalanced_data_exercise.md 1KB .gitignore 85B 1_keras_fashion_mnist_neural_net 1_keras_fashion_mnist.ipynb 29KB fashion_neural_net.png 89KB Exercise 1_keras_sequential_exercise.ipynb 17KB fmnist.png 772KB Slide1.PNG 354KB Slide2.PNG 74KB classlabels.JPG 48KB 10_gpu_benchmarking gpu_performance_test_small_image_classification.ipynb 54KB Exercise exercise_solution.ipynb 54KB exercise_fashion_mnist_gpu_benchmarking.ipynb 6KB small_images.jpg 93KB 17_data_augmentation cnn_flower_image_classification_data_augmentations.ipynb 523KB daisy2.JPG 81KB README.md 386B 11_chrun_prediction churn.ipynb 146KB customer_churn.csv 948KB 2_activation_functions 2_activation_functions.ipynb 5KB 4_matrix_math matrix_math.camproj 15KB revenue_usd.jpg 35KB 4_matrix_math_exercise_solution.ipynb 2KB matrix_math_theory.trec 23.7MB flowers.jpg 43KB 4_matrix_math.ipynb 3KB 4_matrix_math.md 1002B资源评论
