ValueError: axes don't match array

[tamBou]

Hi,
This code works fine for a convolutional neural network but when I try it with the deep neural network below:

_**************************
import pandas as pd
from keras import layers
from keras.models import Sequential
from keras.layers import Dense
from keras.callbacks import EarlyStopping

train_df = pd.read_csv('./data/hourly_wages_data.csv')
train_X = train_df.drop(['wage_per_hour'], axis=1)
train_y = train_df[['wage_per_hour']]

n_cols = train_X.shape[1]

model= Sequential()
model.add(layers.Dense(200, activation='relu', input_shape=(n_cols,)))
model.add(layers.Dense(200, activation='relu'))
model.add(layers.Dense(200, activation='relu'))
model.add(layers.Dense(1, activation = 'softmax'))

model.compile(optimizer='adam', metrics=['accuracy'],loss='mean_squared_error')

model.fit(train_X, train_y, validation_split=0.2, epochs=30, batch_size=70)_

---

When I use the mvNCCheck, I get this error :

_/usr/local/bin/ncsdk/Controllers/Parsers/TensorFlowParser/Convolution.py:47: SyntaxWarning: assertion is always true, perhaps remove parentheses?
assert(False, "Layer type not supported by Convolution: " + obj.type)
mvNCCheck v02.00, Copyright @ Intel Corporation 2017

****** Info: No Weights provided. inferred path: TF_Model/tf_model.data-00000-of-00001******
TF_Model/tf_model.meta
2019-05-23 16:07:34.948186: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
No Bias
No Bias
No Bias
No Bias
Fusing DeptwiseConv + Pointwise Convolution into plain Convolution
Fusing Add and Batch after Convolution
Traceback (most recent call last):
File "/usr/local/bin/mvNCCheck", line 239, in
quit_code = check_net(args.network, args.image, args.inputnode, args.outputnode, args.nshaves, args.inputsize, args.weights, args)
File "/usr/local/bin/mvNCCheck", line 206, in check_net
load_ret = load_network(args, parser, myriad_config)
File "/usr/local/bin/ncsdk/Controllers/Scheduler.py", line 83, in load_network
input_data, expected_result = p.calculateReference(arguments)
File "/usr/local/bin/ncsdk/Controllers/Parsers/TensorFlow.py", line 545, in calculateReference
nhwc_to_nchw_transpozition)
File "/home/tam/.local/lib/python3.5/site-packages/numpy/core/fromnumeric.py", line 639, in transpose
return _wrapfunc(a, 'transpose', axes)
File "/home/tam/.local/lib/python3.5/site-packages/numpy/core/fromnumeric.py", line 56, in wrapfunc
return getattr(obj, method)(*args, **kwds)
ValueError: axes don't match array

Is it normal? Could you help me please resolving this issue.
Thank you in advance