Master #98
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Master #98
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* hotfix: label and backprop * fix: data label must start from 0 tf.one_hot requires Y data labels begin with 0
1) Fix softmax cross entropy 2) Pretty Print Format 3) Fix typo
* Fix to get the correct next close price * Fix to get the correct next close price #2
* Ensure data consistency over Keras and TF in 02-1. * Renamed file (flow, not fflow) * Changed X and y to [1, 2, 3]
* Let's fix travis cost -> cost/loss Revert "cost -> cost/loss" This reverts commit 92a12aa. annotation change cost -> cost/loss * change comment cost -> cost/loss
to do annotation "import matplotlib.pyplot as plt" code. modified an annotation for describing this file on line 1. to erase useless tags on tf.variable_scope() lines. modified "Savor -> Saver" on line 113.
* refactor: add a FC layer 1. Add a FC Layer - #73 2. Add a numpy doc style 3. Explicitly define an activation function in LSTMCell - default is tanh 4. Change to AdamOptimizer 5. Use `with` statement else the session must be closed explicitly 6. No linebreak for the 79 char limit * refactor: nn.tanh -> tanh * add: MNIST Batchnormalization layer * fix: image
* Added XOR Tensorboard Updated .gitignore file to ignore logs directory * Renamed lab-09-7 to lab-09-3
* modify code for compatability with keras 2.x. * change requirement Keras 1.2.2 to 2.0.2. * fix Travis CI Build Error(First try) * Fix Travis CI Build Error(Second try). * Fix Travis CI Build Error(Third try). * Fix Travis CI Build Error(Forth try).
1. pylint does not support py3.6...
Update lab-13-3-mnist_save_restore.py
* - add klab-10-1-mnist_softmax.py based on lab-10-1-mnist_softmax.py ( tested on Ubuntu 14.04 ) * Update klab-10-1-mnist_softmax.py - Update to version Keras 2.0.2 - Tested on Ubuntu 16.04
* Added PyTorch PyTorch code based on TF-Lab code Rest of lab codes will be added. * Update lab-02-1&2-linear_regression.py * Update lab-04-2-multi_variable_linear_regression.py * Update lab-04-3-file_input_linear_regression.py * Update lab-05-1-logistic_regression.py * Update lab-05-2-logistic_regression_diabetes.py * Update lab-06-1-softmax_classifier.py * Update lab-06-2-softmax_zoo_classifier.py * Update lab-09-1-xor.py * Update lab-09-2-xor-nn.py
* Lab 10 MNIST and High-level TF API(dropout, batchnorm, xavier) * PyTorch version lab codes (#88) * Added PyTorch PyTorch code based on TF-Lab code Rest of lab codes will be added. * Update lab-02-1&2-linear_regression.py * Update lab-04-2-multi_variable_linear_regression.py * Update lab-04-3-file_input_linear_regression.py * Update lab-05-1-logistic_regression.py * Update lab-05-2-logistic_regression_diabetes.py * Update lab-06-1-softmax_classifier.py * Update lab-06-2-softmax_zoo_classifier.py * Update lab-09-1-xor.py * Update lab-09-2-xor-nn.py * add Lab 10 MNIST and High-level TF API(dropout, batchnorm, xavier) * add Lab 10 MNIST and High-level TF API(dropout, batchnorm, xavier) * Remove Pytorch files
Update parameters of compute_gradients for TypeError.
W_val and cost_val to W_record and cost_record To understand the purpose of variables easily
This reverts commit d75f37f.
W_val and cost_val to W_record and cost_record To understand the purpose of variables easily
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I'm so Sorry to send this PR... I send PR to Master by mistake. Please don't accept this PR |
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Please Understand My Mistake... |
W_val and cost_val to W_record and cost_record To understand the purpose of variables easily #99 wasn't refactored by mistake
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Change Variable name of W_val and cost_val
W_val and cost_val to W_record and cost_record
To understand the purpose of variables easily
I did three commits by mistake...