lab-05-1-logistic_regression.py
lab-06-2-softmax_zoo_classifier.py
lab-02-1-linear_regression.py
lab-02-2-linear_regression_feed.py
lab-02-3-linear_regression_tensorflow.org.py
lab-03-1-minimizing_cost_show_graph.py
lab-03-2-minimizing_cost_gradient_update.py
lab-03-3-minimizing_cost_tf_optimizer.py
lab-03-X-minimizing_cost_tf_gradient.py
lab-04-1-multi_variable_linear_regression.py
lab-04-2-multi_variable_matmul_linear_regression.py
lab-04-3-file_input_linear_regression.py
lab-04-4-tf_reader_linear_regression.py
lab-05-1-logistic_regression.py
lab-05-2-logistic_regression_diabetes.py
lab-06-1-softmax_classifier.py
lab-06-2-softmax_zoo_classifier.py
lab-07-1-learning_rate_and_evaluation.py
lab-07-2-linear_regression_without_min_max.py
lab-07-3-linear_regression_min_max.py
lab-07-4-mnist_introduction.py
lab-08-tensor_manipulation.ipynb
lab-09-3-xor-nn-wide-deep.py
lab-09-4-xor_tensorboard.py
lab-09-5-linear_back_prop.py
lab-09-6-multi-linear_back_prop.py
lab-09-7-sigmoid_back_prop.py
lab-09-x-xor-nn-back_prop.py
lab-10-1-mnist_softmax.py
lab-10-3-mnist_nn_xavier.py
lab-10-4-mnist_nn_deep.py
lab-10-5-mnist_nn_dropout.py
lab-10-6-mnist_nn_batchnorm.ipynb
lab-10-7-mnist_nn_higher_level_API.py
lab-10-8-mnist_nn_selu(wip).py
lab-10-X1-mnist_back_prop.py
lab-11-0-cnn_basics.ipynb
lab-11-2-mnist_deep_cnn.py
lab-11-3-mnist_cnn_class.py
lab-11-4-mnist_cnn_layers.py
lab-11-5-mnist_cnn_ensemble_layers.py
lab-11-X-mnist_cnn_low_memory.py
lab-12-0-rnn_basics.ipynb
lab-12-3-char-seq-softmax-only.py
lab-12-4-rnn_long_char.py
lab-12-5-rnn_stock_prediction.py
lab-13-1-mnist_using_scope.py
lab-13-2-mnist_tensorboard.py
lab-13-3-mnist_save_restore.py
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Pure Numpy version of DeepLearningZeroToAll
minpy
Minpy is a pure Numpy Interface on the top of MXNet. So it can run on GPUs. It's simple to use by swapping import numpy as np
with import minpy.numpy as np
Autograd
Autograd allows automatic gradient computations with Numpy. However, in this repo, there will be no autograd for study purpose.
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