Deep_learning_Tensorflow

홍콩 과기대 김성훈 교수의 <모두를 위한 머신러닝 / 딥러닝 강의> 를 통해 공부할 예정

강의 주소

아나콘다 - Jupyter Notebook 사용

주피터 Launcher 에러가 뜰 경우

터미널에서 직접 경로지정

jupyter notebook --notebook-dir="/Users/cpprhtn/Desktop"

AttributeError: module 'tensorflow' has no attribute 'optimizers' Error

from tensorflow.keras import optimizers 선언해주기
tf.optimizers~~() 대신 optimizers~~() 사용하기

참고주소 https://stackoverflow.com/questions/58837321/how-to-fix-attributeerror-module-tensorflow-has-no-attribute-optimizers-in

Tensorflow verson 2.20 사용

Name		Name	Last commit message	Last commit date
Latest commit History 93 Commits
.ipynb_checkpoints		.ipynb_checkpoints
data_file		data_file
logs		logs
.DS_Store		.DS_Store
.Rhistory		.Rhistory
.gitattributes		.gitattributes
10_1_mnist_softmax.ipynb		10_1_mnist_softmax.ipynb
10_2_mnist_nn.ipynb		10_2_mnist_nn.ipynb
10_3_mnist_nn_xavier.ipynb		10_3_mnist_nn_xavier.ipynb
10_4_mnist_nn_deep.ipynb		10_4_mnist_nn_deep.ipynb
10_5_mnist_nn_dropout.ipynb		10_5_mnist_nn_dropout.ipynb
11_1_mnist_cnn.ipynb		11_1_mnist_cnn.ipynb
12_1_hello_rnn.ipynb		12_1_hello_rnn.ipynb
12_2_char_seq_rnn.ipynb		12_2_char_seq_rnn.ipynb
12_3_char-seq-softmax-only.ipynb		12_3_char-seq-softmax-only.ipynb
12_4_rnn_long_char.ipynb		12_4_rnn_long_char.ipynb
12_5_rnn_stock_prediction.py.ipynb		12_5_rnn_stock_prediction.py.ipynb
1_텐서플로우의 기본.ipynb		1_텐서플로우의 기본.ipynb
2_1_Linear Regression 의 개념.ipynb		2_1_Linear Regression 의 개념.ipynb
2_2_Linear Regression 의 개념2.ipynb		2_2_Linear Regression 의 개념2.ipynb
3_Linear Regression cost함수 최소화.ipynb		3_Linear Regression cost함수 최소화.ipynb
4_1_multi_variable_linear_regression.ipynb		4_1_multi_variable_linear_regression.ipynb
4_2_multi variable linear regression2.ipynb		4_2_multi variable linear regression2.ipynb
5_logistic_regression.ipynb		5_logistic_regression.ipynb
6_1_logistic_regression_diabetes.ipynb		6_1_logistic_regression_diabetes.ipynb
6_2_softmax_classifier.ipynb		6_2_softmax_classifier.ipynb
6_3_softmax_zoo_classifier.ipynb		6_3_softmax_zoo_classifier.ipynb
7_1_learning_rate_and_evaluation.ipynb		7_1_learning_rate_and_evaluation.ipynb
7_2_linear_regression_without_min_max.ipynb		7_2_linear_regression_without_min_max.ipynb
7_3_linear_regression_min_max.ipynb		7_3_linear_regression_min_max.ipynb
9_1_xor.ipynb		9_1_xor.ipynb
9_2_xor-nn.ipynb		9_2_xor-nn.ipynb
9_3_xor-nn-wide-deep.ipynb		9_3_xor-nn-wide-deep.ipynb
9_4_xor_tensorboard.ipynb		9_4_xor_tensorboard.ipynb
Lab11.pdf		Lab11.pdf
README.md		README.md
lab13.pdf		lab13.pdf
lab14-aws_spot_instance.pdf		lab14-aws_spot_instance.pdf
lab15-Google Cloud ML.pdf		lab15-Google Cloud ML.pdf
lec0.pdf		lec0.pdf
lec1.pdf		lec1.pdf
lec10.pdf		lec10.pdf
lec12.pdf		lec12.pdf
lec2.pdf		lec2.pdf
lec3.pdf		lec3.pdf
lec4.pdf		lec4.pdf
lec5.pdf		lec5.pdf
lec6.pdf		lec6.pdf
lec7.pdf		lec7.pdf
lec8.pdf		lec8.pdf
lec9.pdf		lec9.pdf

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Deep_learning_Tensorflow

홍콩 과기대 김성훈 교수의 <모두를 위한 머신러닝 / 딥러닝 강의> 를 통해 공부할 예정

주피터 Launcher 에러가 뜰 경우

AttributeError: module 'tensorflow' has no attribute 'optimizers' Error

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Deep_learning_Tensorflow

홍콩 과기대 김성훈 교수의 <모두를 위한 머신러닝 / 딥러닝 강의> 를 통해 공부할 예정

주피터 Launcher 에러가 뜰 경우

AttributeError: module 'tensorflow' has no attribute 'optimizers' Error

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