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Other layers will be added.\n\n## Demo\n[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/AryaAftab/sparselayer-tensorflow/blob/master/demo/sparselayer_tensorflow_demo.ipynb)\n## Install\n\n```bash\n$ pip install sparselayer-tensorflow\n```\n\n## Usage\n\n### Sparse Convolution Network with Sparse Fully Connected on Head\n```python\nimport tensorflow as tf\nfrom tensorflow.keras.layers import Input, ReLU, BatchNormalization, Flatten, MaxPool2D\nfrom sparselayer_tensorflow import SparseLayerConv2D, SparseLayerDense\n\n# Create Convolution Network\nX = tf.keras.layers.Input(shape=(28, 28, 1))\nx = SparseLayerConv2D(n_filters=32, density=0.5, filter_size=(3,3), stride=(1,1), padding='SAME')(X)\nx = BatchNormalization()(x)\nx = ReLU()(x)\nx = MaxPool2D((2,2))(x)\n\nx = SparseLayerConv2D(n_filters=64, density=0.5, filter_size=(3,3), stride=(1,1), padding='SAME')(x)\nx = BatchNormalization()(x)\nx = ReLU()(x)\nx = MaxPool2D((2,2))(x)\n\nx = Flatten()(x)\n\n# Added Sparse Dense\ny = SparseLayerDense(units=10, density=0.2, activation=tf.nn.softmax)(x)\n\nmodel = tf.keras.models.Model(X, y)\n\n\n# Hyperparameters\nbatch_size=256\nepochs=30\n\n# Compile the model\nmodel.compile(\n    optimizer=tf.keras.optimizers.Adam(0.0001),  # Utilize optimizer\n    loss=tf.keras.losses.SparseCategoricalCrossentropy(),\n    metrics=['accuracy'])\n\n# Train the network\nhistory = model.fit(\n    x_train,\n    y_train,\n    batch_size=batch_size,\n    validation_split=0.1,\n    epochs=epochs)\n```","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faryaaftab%2Fsparselayer-tensorflow","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faryaaftab%2Fsparselayer-tensorflow","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faryaaftab%2Fsparselayer-tensorflow/lists"}