Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
Action_Recognition_on_the_UCF101_Dataset.ipynb		Action_Recognition_on_the_UCF101_Dataset.ipynb
Activation_Grids_Building_Blocks_of_Interpretability.ipynb		Activation_Grids_Building_Blocks_of_Interpretability.ipynb
Aligned_Interpolation.ipynb		Aligned_Interpolation.ipynb
Audio_Style_Transfer.ipynb		Audio_Style_Transfer.ipynb
Channel_Attribution_Building_Blocks_of_Interpretability.ipynb		Channel_Attribution_Building_Blocks_of_Interpretability.ipynb
Compare_GAN_Modules_Colab.ipynb		Compare_GAN_Modules_Colab.ipynb
Custom_training_walkthrough.ipynb		Custom_training_walkthrough.ipynb
CycleGAN.ipynb		CycleGAN.ipynb
Diversity_Feature_Visualization.ipynb		Diversity_Feature_Visualization.ipynb
Feature_Inversion_Caricatures_with_Lucid.ipynb		Feature_Inversion_Caricatures_with_Lucid.ipynb
Interaction_Between_Neurons_Feature_Visualization.ipynb		Interaction_Between_Neurons_Feature_Visualization.ipynb
Lab_1_Loading_and_Understanding_Your_Data.ipynb		Lab_1_Loading_and_Understanding_Your_Data.ipynb
Lab_2_Training_Your_First_TF_Linear_Regression_Model.ipynb		Lab_2_Training_Your_First_TF_Linear_Regression_Model.ipynb
Lab_3_Using_Multiple_Numerical_Features_and_Feature_Scaling.ipynb		Lab_3_Using_Multiple_Numerical_Features_and_Feature_Scaling.ipynb
LatentConstraints.ipynb		LatentConstraints.ipynb
Lucid_Tutorial.ipynb		Lucid_Tutorial.ipynb
ManifoldLearning.ipynb		ManifoldLearning.ipynb
Mitigating_Unwanted_Biases_in_Word_Embeddings_with_Adversarial_Learning.ipynb		Mitigating_Unwanted_Biases_in_Word_Embeddings_with_Adversarial_Learning.ipynb
MusicVAE.ipynb		MusicVAE.ipynb
NSynth.ipynb		NSynth.ipynb
Negative_Neurons_Feature_Visualization.ipynb		Negative_Neurons_Feature_Visualization.ipynb
Neural_Style_Transfer_with_Eager_Execution.ipynb		Neural_Style_Transfer_with_Eager_Execution.ipynb
Neuron_Groups_Building_Blocks_of_Interpretability.ipynb		Neuron_Groups_Building_Blocks_of_Interpretability.ipynb
Onsets_and_Frames.ipynb		Onsets_and_Frames.ipynb
Performance_RNN.ipynb		Performance_RNN.ipynb
README.md		README.md
Semantic_Dictionaries_Building_Blocks_of_Interpretability.ipynb		Semantic_Dictionaries_Building_Blocks_of_Interpretability.ipynb
Semantic_Similarity_with_TF_Hub_Universal_Encoder.ipynb		Semantic_Similarity_with_TF_Hub_Universal_Encoder.ipynb
Sketch_RNN.ipynb		Sketch_RNN.ipynb
Sketch_RNN_TF_To_JS_Tutorial.ipynb		Sketch_RNN_TF_To_JS_Tutorial.ipynb
Spatial_Attribution_Building_Blocks_of_Interpretability.ipynb		Spatial_Attribution_Building_Blocks_of_Interpretability.ipynb
TF_Hub_Delf_module.ipynb		TF_Hub_Delf_module.ipynb
TF_Hub_generative_image_module.ipynb		TF_Hub_generative_image_module.ipynb
Tensor2Tensor_Intro.ipynb		Tensor2Tensor_Intro.ipynb
Text_classification_with_TF_Hub.ipynb		Text_classification_with_TF_Hub.ipynb
basic_classification.ipynb		basic_classification.ipynb
basic_regression.ipynb		basic_regression.ipynb
basic_text_classification.ipynb		basic_text_classification.ipynb
char_rnn.ipynb		char_rnn.ipynb
creating_and_manipulating_tensors.ipynb		creating_and_manipulating_tensors.ipynb
cvae.ipynb		cvae.ipynb
deepdream.ipynb		deepdream.ipynb
feature_crosses.ipynb		feature_crosses.ipynb
feature_sets.ipynb		feature_sets.ipynb
first_steps_with_tensor_flow.ipynb		first_steps_with_tensor_flow.ipynb
hello_world.ipynb		hello_world.ipynb
improving_neural_net_performance.ipynb		improving_neural_net_performance.ipynb
intro_to_fairness.ipynb		intro_to_fairness.ipynb
intro_to_neural_nets.ipynb		intro_to_neural_nets.ipynb
intro_to_pandas.ipynb		intro_to_pandas.ipynb
intro_to_sparse_data_and_embeddings.ipynb		intro_to_sparse_data_and_embeddings.ipynb
logistic_regression.ipynb		logistic_regression.ipynb
modelzoo.ipynb		modelzoo.ipynb
multi_class_classification_of_handwritten_digits.ipynb		multi_class_classification_of_handwritten_digits.ipynb
nmt_with_attention.ipynb		nmt_with_attention.ipynb
overfit_and_underfit.ipynb		overfit_and_underfit.ipynb
pinned_auc_demo.ipynb		pinned_auc_demo.ipynb
pix2pix_eager.ipynb		pix2pix_eager.ipynb
post_training_quant.ipynb		post_training_quant.ipynb
sparsity_and_l1_regularization.ipynb		sparsity_and_l1_regularization.ipynb
style_transfer_2d.ipynb		style_transfer_2d.ipynb
synthetic_features_and_outliers.ipynb		synthetic_features_and_outliers.ipynb
tensorflow_programming_concepts.ipynb		tensorflow_programming_concepts.ipynb
text_generation.ipynb		text_generation.ipynb
texture_style_3d.ipynb		texture_style_3d.ipynb
transparency.ipynb		transparency.ipynb
validation.ipynb		validation.ipynb
word_embeddings.ipynb		word_embeddings.ipynb

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colab_notebooks

updated seedbank notebooks

easiest way to use is to go to http://colab.research.google.com/github/unhkd-fez/colab_notebooks and choose an example!

Please don't forget to add "%tensorflow_version 1.x" without quotes as first cell in notebook

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