基于keras和tensorflow的入门级代码

[{"title":"（ 29 个子文件 1.7MB ） 基于keras和tensorflow的入门级代码","children":[{"title":"Keras_Imdb_RNN.ipynb <span style='color:#111;'> 73.26KB </span>","children":null,"spread":false},{"title":"Keras_Imdb_Introduce.ipynb <span style='color:#111;'> 1.63MB </span>","children":null,"spread":false},{"title":"Tensorflow_Mnist_MLP_h1000-h1000.ipynb <span style='color:#111;'> 47.12KB </span>","children":null,"spread":false},{"title":"MNIST_data","children":null,"spread":false},{"title":"Keras_Mnist_MLP_h1000_DropOut.ipynb <span style='color:#111;'> 75.89KB </span>","children":null,"spread":false},{"title":"Keras_Mnist_CNN.ipynb <span style='color:#111;'> 68.60KB </span>","children":null,"spread":false},{"title":"Tensorflow_activation_function.ipynb <span style='color:#111;'> 78.10KB </span>","children":null,"spread":false},{"title":"Keras_Taianic_MLP.ipynb <span style='color:#111;'> 66.18KB </span>","children":null,"spread":false},{"title":"Keras_Mnist_MLP_h1000_DropOut_h1000_DropOut.ipynb <span style='color:#111;'> 75.57KB </span>","children":null,"spread":false},{"title":"Tensorflow_Mnist_Introduce.ipynb <span style='color:#111;'> 84.43KB </span>","children":null,"spread":false},{"title":"Test_GPU.ipynb <span style='color:#111;'> 23.64KB </span>","children":null,"spread":false},{"title":"Keras_Mnist_Introduce.ipynb <span style='color:#111;'> 56.54KB </span>","children":null,"spread":false},{"title":"Tensorflow_Mnist_MLP_h1000.ipynb <span style='color:#111;'> 45.30KB </span>","children":null,"spread":false},{"title":"log","children":[{"title":"area","children":null,"spread":false},{"title":"CNN","children":null,"spread":false}],"spread":true},{"title":"Keras_Cifar_CNN_Deeper_Conv3.ipynb <span style='color:#111;'> 175.87KB </span>","children":null,"spread":false},{"title":"Keras_Imdb_LSTM.ipynb <span style='color:#111;'> 78.40KB </span>","children":null,"spread":false},{"title":"Keras_Imdb_MLP.ipynb <span style='color:#111;'> 69.96KB </span>","children":null,"spread":false},{"title":"SaveModel","children":null,"spread":false},{"title":"TensorFlow_Board_area.ipynb <span style='color:#111;'> 1.32KB </span>","children":null,"spread":false},{"title":"Keras_Mnist_MLP_h256.ipynb <span style='color:#111;'> 78.07KB </span>","children":null,"spread":false},{"title":"Keras_Cifar_CNN.ipynb <span style='color:#111;'> 145.42KB </span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":[{"title":"Tensorflow_Mnist_CNN-checkpoint.ipynb <span style='color:#111;'> 73.73KB </span>","children":null,"spread":false},{"title":"Test_GPU-checkpoint.ipynb <span style='color:#111;'> 23.64KB </span>","children":null,"spread":false}],"spread":false},{"title":"Keras_Imdb_MLP_Large.ipynb <span style='color:#111;'> 68.35KB </span>","children":null,"spread":false},{"title":"Tensorflow_Mnist_CNN.ipynb <span style='color:#111;'> 73.81KB </span>","children":null,"spread":false},{"title":"Keras_Cifar_CNN-Introduce.ipynb <span style='color:#111;'> 72.40KB </span>","children":null,"spread":false},{"title":"TensorFlow_Basic.ipynb <span style='color:#111;'> 10.68KB </span>","children":null,"spread":false},{"title":"TensorFlow_Tensor_neural.ipynb <span style='color:#111;'> 19.16KB </span>","children":null,"spread":false},{"title":"Tensorflow_Mnist_MLP_h256.ipynb <span style='color:#111;'> 46.69KB </span>","children":null,"spread":false},{"title":"Keras_Mnist_MLP_h1000.ipynb <span style='color:#111;'> 76.49KB </span>","children":null,"spread":false},{"title":"Keras_Cifar_CNN_Continue_Train.ipynb <span style='color:#111;'> 123.79KB </span>","children":null,"spread":false},{"title":"data","children":null,"spread":false},{"title":"Keras_Taianic_Introduce.ipynb <span style='color:#111;'> 20.79KB </span>","children":null,"spread":false}],"spread":true}]