GitHub - yang-zhang/deep-learning: Deep Learning demos and experiments.

Deep Learning demos and experiments.

Pseudo Labeling
Applications and Demo of Functions
- Classification using Keras: Keras Classification example using
  - Sequential model
  - Functional API
- Regression using Keras: Keras Regression example using
  - Sequential model
  - Functional API
- Linear regression using Keras:
  - Linear regression in sklearn v.s. Keras.
  - Validation data in Keras
  - Getting coefficients (weights) in Keras.
- MNIST using Keras: CNN example.
- Collaborative Filtering using Keras
- RNN using Keras
- RNN on South Park scripts
- Time Series using Keras
- Keras Early Stopping
- Theano Tutorial
Inside Keras
- Inspect Keras Model
- Number of Layer Parameters: Demo to verify the number of paramters of layers in Keras models.
- Keras Linear Algebra: Some Keras actions translated to linear algebra operations.
  - Dense layer
  - Merge
  - Timedistributed layer
- Keras TimeDistributed Layer: Demo how Keras TimeDistributed Layer works.
- Keras models.Input v.s. layers.Input: A peak at a corner of Keras code organization.

For setting up deep learning environement, see here.

Back to Home Page

Name		Name	Last commit message	Last commit date
Latest commit History 108 Commits
.gitignore		.gitignore
README.md		README.md
_config.yml		_config.yml
collaborative_filtering_keras.ipynb		collaborative_filtering_keras.ipynb
collaborative_filtering_keras.py		collaborative_filtering_keras.py
collaborative_filtering_keras_py27.ipynb		collaborative_filtering_keras_py27.ipynb
collaborative_filtering_keras_py27.py		collaborative_filtering_keras_py27.py
gram_matrix.ipynb		gram_matrix.ipynb
inspect_keras_model.ipynb		inspect_keras_model.ipynb
inspect_keras_model.py		inspect_keras_model.py
keras_Conv2DTranspose.ipynb		keras_Conv2DTranspose.ipynb
keras_MNIST.ipynb		keras_MNIST.ipynb
keras_MNIST.py		keras_MNIST.py
keras_backend_session.ipynb		keras_backend_session.ipynb
keras_classification.ipynb		keras_classification.ipynb
keras_classification.py		keras_classification.py
keras_dot.ipynb		keras_dot.ipynb
keras_dot.py		keras_dot.py
keras_early_stop.ipynb		keras_early_stop.ipynb
keras_early_stop.py		keras_early_stop.py
keras_embedding.ipynb		keras_embedding.ipynb
keras_embedding.py		keras_embedding.py
keras_examples_addition_rnn.ipynb		keras_examples_addition_rnn.ipynb
keras_examples_babi_rnn.ipynb		keras_examples_babi_rnn.ipynb
keras_examples_babi_rnn.py		keras_examples_babi_rnn.py
keras_examples_imdb_bidirectional_lstm.ipynb		keras_examples_imdb_bidirectional_lstm.ipynb
keras_examples_imdb_bidirectional_lstm.py		keras_examples_imdb_bidirectional_lstm.py
keras_examples_imdb_lstm.ipynb		keras_examples_imdb_lstm.ipynb
keras_examples_imdb_lstm.py		keras_examples_imdb_lstm.py
keras_examples_lstm_stateful.ipynb		keras_examples_lstm_stateful.ipynb
keras_examples_lstm_stateful.py		keras_examples_lstm_stateful.py
keras_examples_lstm_text_generation.ipynb		keras_examples_lstm_text_generation.ipynb
keras_examples_lstm_text_generation.py		keras_examples_lstm_text_generation.py
keras_first_example.ipynb		keras_first_example.ipynb
keras_first_example.py		keras_first_example.py
keras_input_models_vs_layers.ipynb		keras_input_models_vs_layers.ipynb
keras_input_models_vs_layers.py		keras_input_models_vs_layers.py
keras_linear_algebra.ipynb		keras_linear_algebra.ipynb
keras_linear_algebra.py		keras_linear_algebra.py
keras_linear_regression.ipynb		keras_linear_regression.ipynb
keras_linear_regression.py		keras_linear_regression.py
keras_mimo.ipynb		keras_mimo.ipynb
keras_mimo.py		keras_mimo.py
keras_number_of_paramters.ipynb		keras_number_of_paramters.ipynb
keras_number_of_paramters.py		keras_number_of_paramters.py
keras_plot_model.ipynb		keras_plot_model.ipynb
keras_plot_model.py		keras_plot_model.py
keras_polling.ipynb		keras_polling.ipynb
keras_regression.ipynb		keras_regression.ipynb
keras_regression.py		keras_regression.py
keras_repeatvector.ipynb		keras_repeatvector.ipynb
keras_repeatvector.py		keras_repeatvector.py
keras_rnn.ipynb		keras_rnn.ipynb
keras_rnn.py		keras_rnn.py
keras_rnn_return_sequences.ipynb		keras_rnn_return_sequences.ipynb
keras_rnn_return_sequences.py		keras_rnn_return_sequences.py
keras_time_series.ipynb		keras_time_series.ipynb
keras_time_series.py		keras_time_series.py
keras_time_series_original.ipynb		keras_time_series_original.ipynb
keras_time_series_original.py		keras_time_series_original.py
keras_timedistributed.ipynb		keras_timedistributed.ipynb
keras_timedistributed.py		keras_timedistributed.py
mxnet_demo.ipynb		mxnet_demo.ipynb
mxnet_demo.py		mxnet_demo.py
number_parameters_dense_conv_nn.ipynb		number_parameters_dense_conv_nn.ipynb
number_parameters_dense_conv_nn.py		number_parameters_dense_conv_nn.py
number_parameters_rnn_lstm.ipynb		number_parameters_rnn_lstm.ipynb
number_parameters_rnn_lstm.py		number_parameters_rnn_lstm.py
pseudo_labeling.ipynb		pseudo_labeling.ipynb
pseudo_labeling.py		pseudo_labeling.py
pytorch_demo.ipynb		pytorch_demo.ipynb
pytorch_demo.py		pytorch_demo.py
pytorch_grad.ipynb		pytorch_grad.ipynb
run_tf_examples_speech_commands.ipynb		run_tf_examples_speech_commands.ipynb
southpark_rnn.ipynb		southpark_rnn.ipynb
southpark_rnn.py		southpark_rnn.py
tensorflow_demo.ipynb		tensorflow_demo.ipynb
tensorflow_demo.py		tensorflow_demo.py
tensorflow_reduce_mean.ipynb		tensorflow_reduce_mean.ipynb
theano_tutorial.ipynb		theano_tutorial.ipynb
theano_tutorial.py		theano_tutorial.py
utilities.py		utilities.py

yang-zhang/deep-learning

Folders and files

Latest commit

History