TensorflowBasicFromDLZoo

This is my learning notebook from https://github.com/hunkim/DeepLearningZeroToAll and TensorFlow official website https://www.tensorflow.org/

Name		Name	Last commit message	Last commit date
Latest commit History 23 Commits
MNIST_data		MNIST_data
TF_E		TF_E
V2		V2
10NNforMNIST.ipynb		10NNforMNIST.ipynb
10NNforMNIST_tensorboard.ipynb		10NNforMNIST_tensorboard.ipynb
10NNforMNIST_tensorboardx.ipynb		10NNforMNIST_tensorboardx.ipynb
10NNforMNISTx.ipynb		10NNforMNISTx.ipynb
10NNforMNISTxDeep.ipynb		10NNforMNISTxDeep.ipynb
10NNforMNISTxDeepDropout.ipynb		10NNforMNISTxDeepDropout.ipynb
10NNforMNISTxDeepDropoutAdamToSGD.ipynb		10NNforMNISTxDeepDropoutAdamToSGD.ipynb
10SoftmaxclassifierforMNIST.ipynb		10SoftmaxclassifierforMNIST.ipynb
CNNUnderstanding.ipynb		CNNUnderstanding.ipynb
DeepLearnZooLinearRegression.ipynb		DeepLearnZooLinearRegression.ipynb
IntroductionForTensorBorad_NoRunningCoding.ipynb		IntroductionForTensorBorad_NoRunningCoding.ipynb
Learn jupyter Notebook.ipynb		Learn jupyter Notebook.ipynb
LearningRate&Evaluation.ipynb		LearningRate&Evaluation.ipynb
LearningTensorflow_fullConnected_Mnist.ipynb		LearningTensorflow_fullConnected_Mnist.ipynb
LinearRegression1.ipynb		LinearRegression1.ipynb
LinearRegression2.ipynb		LinearRegression2.ipynb
Loaddata.ipynb		Loaddata.ipynb
LogisticRegression.ipynb		LogisticRegression.ipynb
LogisticRegression_ClassifyDiabetes.ipynb		LogisticRegression_ClassifyDiabetes.ipynb
MNIST_CNN_Class.ipynb		MNIST_CNN_Class.ipynb
MNIST_CNN_TF_CLASS_Ensemble prediction.ipynb		MNIST_CNN_TF_CLASS_Ensemble prediction.ipynb
MNIST_CNN_TF_Class.ipynb		MNIST_CNN_TF_Class.ipynb
MinimizingCost.ipynb		MinimizingCost.ipynb
MnistAndConvolutionNeuralNetwork_TwoLayers.ipynb		MnistAndConvolutionNeuralNetwork_TwoLayers.ipynb
MnistAndConvolutionNeuralNetwork_TwoLayers_wholeCoding_deepCNN.ipynb		MnistAndConvolutionNeuralNetwork_TwoLayers_wholeCoding_deepCNN.ipynb
MultiVariableLinearRregressoion.ipynb		MultiVariableLinearRregressoion.ipynb
NNforXOR_MoreLayers.ipynb		NNforXOR_MoreLayers.ipynb
README.md		README.md
Softmaxfunction&CrossEntropy&OneHot&Test.ipynb		Softmaxfunction&CrossEntropy&OneHot&Test.ipynb
TF_CookBook.ipynb		TF_CookBook.ipynb
TF_CookBook2_dataSource.ipynb		TF_CookBook2_dataSource.ipynb
TF_Test.ipynb		TF_Test.ipynb
TensorManipulation.ipynb		TensorManipulation.ipynb
XORTensorboardAndEmdeddedExample[toLearn].ipynb		XORTensorboardAndEmdeddedExample[toLearn].ipynb
[tf.train.batch].ipynb		[tf.train.batch].ipynb
data.csv		data.csv
data03.csv		data03.csv
data04.csv		data04.csv
lab-02-1-linear_regression_exampleData_noPlaceholder.ipynb		lab-02-1-linear_regression_exampleData_noPlaceholder.ipynb
lab-02-1-linear_regression_placeholderWithFeed.ipynb		lab-02-1-linear_regression_placeholderWithFeed.ipynb
lab-03-minimizing_cost.ipynb		lab-03-minimizing_cost.ipynb
lab-04-1-multi_variable_linear_regression.ipynb		lab-04-1-multi_variable_linear_regression.ipynb
lab-04-2-multi_variable_matmul_linear_regression.ipynb		lab-04-2-multi_variable_matmul_linear_regression.ipynb
lab-04-3-file_input_linear_regression_Loaddata.ipynb		lab-04-3-file_input_linear_regression_Loaddata.ipynb
lab-04-4-tf_reader_linear_regression_tf.train.batch.ipynb		lab-04-4-tf_reader_linear_regression_tf.train.batch.ipynb
lab-09-2-xor-nn.py		lab-09-2-xor-nn.py
lab-09-3-xor-nn-wide-deep.py		lab-09-3-xor-nn-wide-deep.py
lab-09-4-xor_tensorboard.py		lab-09-4-xor_tensorboard.py
lab-10-6-mnist_nn_batchnorm.ipynb		lab-10-6-mnist_nn_batchnorm.ipynb
twoExample_how NN to working_updating and RMSE.ipynb		twoExample_how NN to working_updating and RMSE.ipynb

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