DL_Tutorials

understanding input and output shape of LSTM in tensorflow/keras

understanding Dense layer of Tensorflow

implementing LSTM in numpy

implementing LSTM from scratch in Tensorflow

Name		Name	Last commit message	Last commit date
Latest commit History 28 Commits
.binder		.binder
docs		docs
examples		examples
.gitignore		.gitignore
README.md		README.md
dense_layer_model_tf.ipynb		dense_layer_model_tf.ipynb
keras_custom_layer.ipynb		keras_custom_layer.ipynb
many_to_one.ipynb		many_to_one.ipynb
prepare_input_data_for_rnn_for_ts_prediction.ipynb		prepare_input_data_for_rnn_for_ts_prediction.ipynb
reproducibility_tf.ipynb		reproducibility_tf.ipynb
rnn_data_preparation.py		rnn_data_preparation.py
understanding_TimeDistributedLayer.ipynb		understanding_TimeDistributedLayer.ipynb
understanding_dense_layer_tf.ipynb		understanding_dense_layer_tf.ipynb

Provide feedback