Trying the first example

[lorrp1]

i get this error: (doing nothing but running the just cloned project)

Traceback (most recent call last): File "C:\Users\lorenzo\AppData\Local\Temp/main.py", line 1524, in instance_0.Run() File "C:\Users\lorenzo\AppData\Local\Temp/main.py", line 861, in Run _y = self._model.Run(self.X) File "C:\Users\lorenzo\AppData\Local\Temp/main.py", line 1046, in Run graph = self.model_elements[e].Run(graph, reuse=reuse) File "C:\Users\lorenzo\AppData\Local\Temp/main.py", line 1182, in Run if i<len(self.variables)/2-1 and self.use_relu: AttributeError: 'object_4' object has no attribute 'use_relu'

[lorrp1]

treid running a second time and got this: Traceback (most recent call last): File "C:\Users\lorenzo\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\common_shapes.py", line 686, in _call_cpp_shape_fn_impl input_tensors_as_shapes, status) File "C:\Users\lorenzo\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 473, in exit c_api.TF_GetCode(self.status.status)) tensorflow.python.framework.errors_impl.InvalidArgumentError: Dimensions must be equal, but are 784 and 1024 for 'MatMul' (op: 'MatMul') with input shapes: [?,784], [1024,256].

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "C:\Users\lorenzo\AppData\Local\Temp/main.py", line 1524, in instance_0.Run() File "C:\Users\lorenzo\AppData\Local\Temp/main.py", line 861, in Run _y = self._model.Run(self.X) File "C:\Users\lorenzo\AppData\Local\Temp/main.py", line 1046, in Run graph = self.model_elements[e].Run(graph, reuse=reuse) File "C:\Users\lorenzo\AppData\Local\Temp/main.py", line 1181, in Run h = tf.matmul(h, W) + b File "C:\Users\lorenzo\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\ops\math_ops.py", line 1891, in matmul a, b, transpose_a=transpose_a, transpose_b=transpose_b, name=name) File "C:\Users\lorenzo\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 2436, in _mat_mul name=name) File "C:\Users\lorenzo\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper op_def=op_def) File "C:\Users\lorenzo\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\ops.py", line 2958, in create_op set_shapes_for_outputs(ret) File "C:\Users\lorenzo\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\ops.py", line 2209, in set_shapes_for_outputs shapes = shape_func(op) File "C:\Users\lorenzo\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\ops.py", line 2159, in call_with_requiring return call_cpp_shape_fn(op, require_shape_fn=True) File "C:\Users\lorenzo\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\common_shapes.py", line 627, in call_cpp_shape_fn require_shape_fn) File "C:\Users\lorenzo\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\common_shapes.py", line 691, in _call_cpp_shape_fn_impl raise ValueError(err.message) ValueError: Dimensions must be equal, but are 784 and 1024 for 'MatMul' (op: 'MatMul') with input shapes: [?,784], [1024,256].

[MrNothing]

Hi, that example is quite old, just select the neuron object in the scene and replace 1024 with 784 in the "hidden" array from the properties panel. I will replace the example project, sorry about that.

[lorrp1]

yeah working now

[lorrp1]

is that correct? https://ibb.co/d3X7HG

[MrNothing]

Yes this is the expected behavior, I am closing the ticket.