<p><span style="padding: 3px 10px; border-radius: 5px; color: #ffffff; font-weight: bold; display: inline-block; background-color: #ff0000;"> External Email - Use Caution </span></p><p></p><div dir="ltr">thank you so much for your suggestion. I will try in MNE<br clear="all"><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div dir="ltr"><div><font face="'times new roman', serif" color="#999900">regards,<br></font><div><b><i><font face="'times new roman', serif" color="#999900">M.Bhuvaneshwari,<br></font></i></b></div><div><b style="color:rgb(153,153,0);font-family:"times new roman",serif"><i>Research Scholar,</i></b><br></div></div><div><b style="color:rgb(153,153,0);font-family:"times new roman",serif"><i>Karunya Institute of technology and Sciences</i></b></div><div><font color="#999900" face="times new roman, serif"><b><i>Coimbatore.<br></i></b></font></div></div></div></div></div></div></div></div><br></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Thu, Aug 27, 2020 at 12:35 PM Alexandre Gramfort <<a href="mailto:alexandre.gramfort@inria.fr">alexandre.gramfort@inria.fr</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"> External Email - Use Caution <br>
<br>
hi,<br>
<br>
if you want to get started with deep learning using MNE I would suggest:<br>
<br>
<a href="https://braindecode.org/" rel="noreferrer" target="_blank">https://braindecode.org/</a><br>
<br>
Alex<br>
<br>
On Thu, Aug 27, 2020 at 5:09 AM Bhuvaneshwari M <<a href="mailto:bhvnshwari@gmail.com" target="_blank">bhvnshwari@gmail.com</a>> wrote:<br>
><br>
> External Email - Use Caution<br>
><br>
> Hi everyone,<br>
> I am new to python-EEG signal processing. Can you please help me to sort out the following issue for the dataset of input size (199603,16) and target label in 17th column. It would be great help if someone interprets this issue.<br>
><br>
> ValueError: in user code: /usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py:806 train_function * return step_function(self, iterator) /usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py:796 step_function ** outputs = model.distribute_strategy.run(run_step, args=(data,)) /usr/local/lib/python3.6/dist-packages/tensorflow/python/distribute/distribute_lib.py:1211 run return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs) /usr/local/lib/python3.6/dist-packages/tensorflow/python/distribute/distribute_lib.py:2585 call_for_each_replica return self._call_for_each_replica(fn, args, kwargs) /usr/local/lib/python3.6/dist-packages/tensorflow/python/distribute/distribute_lib.py:2945 _call_for_each_replica return fn(*args, **kwargs) /usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py:789 run_step ** outputs = model.train_step(data) /usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py:747 train_step y_pred = self(x, training=True) /usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/base_layer.py:976 __call__ <a href="http://self.name" rel="noreferrer" target="_blank">self.name</a>) /usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/input_spec.py:196 assert_input_compatibility str(x.shape.as_list())) ValueError: Input 0 of layer sequential_21 is incompatible with the layer: : expected min_ndim=3, found ndim=2. Full shape received: [1, 1]<br>
> regards,<br>
> M.Bhuvaneshwari,<br>
> Research Scholar,<br>
> Karunya Institute of technology and Sciences<br>
> Coimbatore.<br>
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