Amir Ghamarian ghamarian
ghamarian
/ gist:81a5f36141d387ed48f456518529c391
Created
March 9, 2019 21:06
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| def plot_model_training(model_history): | |
| fig, axs = plt.subplots(1,2,figsize=(15,5)) | |
| # summarize history for accuracy | |
| axs[0].plot(range(1,len(model_history.history['acc'])+1),model_history.history['acc']) | |
| axs[0].plot(range(1,len(model_history.history['val_acc'])+1),model_history.history['val_acc']) | |
| axs[0].set_title('Model Accuracy') | |
| axs[0].set_ylabel('Accuracy') | |
| axs[0].set_xlabel('Epoch') | |
| axs[0].set_xticks(np.arange(1,len(model_history.history['acc'])+1),len(model_history.history['acc'])/10) | |
| axs[0].legend(['train', 'val'], loc='best') |
ghamarian
/ gist:5e9422e4b6c59bb3d692a58ebf625167
Created
March 9, 2019 20:57
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| -Learn-Artificial-Intelligence-with-TensorFlow | |
| origin https://github.com/PacktPublishing/-Learn-Artificial-Intelligence-with-TensorFlow.git (fetch) | |
| ----------------- | |
| Advanced-Deep-Learning-with-Keras | |
| origin https://github.com/PacktPublishing/Advanced-Deep-Learning-with-Keras.git (fetch) | |
| ----------------- | |
| Deep-Learning-with-Keras | |
| origin https://github.com/PacktPublishing/Deep-Learning-with-Keras.git (fetch) | |
| ----------------- | |
| Distributed-Deep-Learning |
ghamarian
/ gist:f968d85bcfe7e007624f9ce7285b2d14
Last active
March 8, 2019 22:09
Deep learning cookbooks
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| -Learn-Artificial-Intelligence-with-TensorFlow | |
| origin https://github.com/PacktPublishing/-Learn-Artificial-Intelligence-with-TensorFlow.git (fetch) | |
| ----------------- | |
| Advanced-Deep-Learning-with-Keras | |
| origin https://github.com/PacktPublishing/Advanced-Deep-Learning-with-Keras.git (fetch) | |
| ----------------- | |
| Deep-Learning-with-Keras | |
| origin https://github.com/PacktPublishing/Deep-Learning-with-Keras.git (fetch) | |
| ----------------- | |
| Ensemble-Machine-Learning |
ghamarian
/ gist:99b253a689ffde561f736d4d3979d63b
Created
March 8, 2019 21:44
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| -Learn-Artificial-Intelligence-with-TensorFlow | |
| origin https://github.com/PacktPublishing/-Learn-Artificial-Intelligence-with-TensorFlow.git (fetch) | |
| ----------------- | |
| Ensemble-Machine-Learning | |
| origin https://github.com/PacktPublishing/Ensemble-Machine-Learning.git (fetch) | |
| ----------------- | |
| TensorFlow-Machine-Learning-Cookbook-Second-Edition | |
| origin https://github.com/PacktPublishing/TensorFlow-Machine-Learning-Cookbook-Second-Edition.git (fetch) | |
| ----------------- | |
| examples |
ghamarian
/ gist:8310795784b70256a891256b1da0c102
Created
March 8, 2019 21:43
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| -Learn-Artificial-Intelligence-with-TensorFlow | |
| origin https://github.com/PacktPublishing/-Learn-Artificial-Intelligence-with-TensorFlow.git (fetch) | |
| Ensemble-Machine-Learning | |
| origin https://github.com/PacktPublishing/Ensemble-Machine-Learning.git (fetch) | |
| TensorFlow-Machine-Learning-Cookbook-Second-Edition | |
| origin https://github.com/PacktPublishing/TensorFlow-Machine-Learning-Cookbook-Second-Edition.git (fetch) | |
| examples | |
| origin https://github.com/pytorch/examples.git (fetch) | |
| hands-on-transfer-learning-with-python | |
| origin https://github.com/dipanjanS/hands-on-transfer-learning-with-python.git (fetch) |
ghamarian
/ siamese.py
Created
March 8, 2019 17:37
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| '''Trains a Siamese MLP on pairs of digits from the MNIST dataset. | |
| It follows Hadsell-et-al.'06 [1] by computing the Euclidean distance on the | |
| output of the shared network and by optimizing the contrastive loss (see paper | |
| for mode details). | |
| # References | |
| - Dimensionality Reduction by Learning an Invariant Mapping | |
| http://yann.lecun.com/exdb/publis/pdf/hadsell-chopra-lecun-06.pdf |
ghamarian
/ gist:929f337e517531f595d4d3b7b23c4f42
Last active
February 20, 2019 12:38
All Tensorflow methods used with their frequencies in tensorflow_cookbook
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| 248 tf.placeholder | |
| 203 tf.Variable | |
| 151 tf.matmul | |
| 143 tf.Session | |
| 114 tf.random_normal | |
| 113 tf.reduce_mean | |
| 101 tf.add | |
| 94 tf.global_variables_initializer | |
| 91 tf.multiply | |
| 89 tf.square |
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| document.addEventListener('DOMContentLoaded', function () { | |
| let selected_color = '#666666'; | |
| let white = '#ffffff'; | |
| let cy = cytoscape({ | |
| // container: $('#cy'), // container to render in | |
| container: document.getElementById('cy'), // container to render in | |
| elements: [ // list of graph elements to start with | |
| { // node a |
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| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <title>Title</title> | |
| <link rel="stylesheet" href="cytocreator.css"/> | |
| <link rel="stylesheet" href="cytoscape-context-menus.css"/> | |
| </head> | |
| <body> |
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| $('select').on('change', function () { | |
| $(this).find('option').attr('selected', false); | |
| $(this).find(`option[value=${$(this).val()}]`).attr('selected', true); | |
| }); |