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can this tool draw RNN-based network, like LSTM or GRU ?
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Hello can you provide a Python Notebook for "How to do forecasting using Mamba?"
How to use Mamba to forecast and compare with LSTM, RNN also.
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- [x] clip_grad_norm_
- [x] clip_grad_value_
- [ ] convert_conv2d_weight_memory_format
- [ ] fuse_conv_bn_eval
- [x] fuse_conv_bn_weights
- [ ] fuse_linear_bn_eval
- [x] fuse_linear_bn_weights
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Since we can handle generic graph-networks now, it's time to implement LSTM/RNN. Milestones:
- [ ] Add a basic LSTM cell (equivalent to TF's BasicLSTMCell)
- [ ] Modify network class to handle sequent…
nyanp updated
7 years ago
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Hi @JonathanRaiman
your rnn package looks clean and easily understandable, I am gonna test it out, but i have question, do you intend to implement a bidirectional RNN?
hycis updated
9 years ago
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It's nicer to have all files the same capitalisation (i.e. small)
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Once we have an implementation of the Layer Class https://github.com/arrayfire/arrayfire_ml/issues/17 , the Optimizer class and the DataSet class we can go about creating RNN flavors. There are 3 mode…
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