ValueError: Error when checking input: expected dense_36_input to have shape (None, 12) but got array with...
0
$begingroup$
create model
model=Sequential()
model.add(Dense(input_dim = 12, units = 10, activation='relu', kernel_initializer='uniform'))
model.add(Dense(units = 8, activation='relu', kernel_initializer='uniform'))
model.add(Dense(units = 1, activation='sigmoid', kernel_initializer='uniform'))
print('Training the model...')
Compile model
model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])
while running the model.fit()
Fit the model
model.fit(X_train,y_train,batch_size=32, epochs=10, verbose=1)
I am getting the Error
ValueError: Error when checking input: expected dense_36_input to have shape (None, 12) but got array with shape (140, 2)
machine-learning python neural-network keras
edited 2 mins ago
Stephen Rauch♦
1,52551330
asked 7 mins ago
angelangel
1
New contributor
angel is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
0
$begingroup$
create model
model=Sequential()
model.add(Dense(input_dim = 12, units = 10, activation='relu', kernel_initializer='uniform'))
model.add(Dense(units = 8, activation='relu', kernel_initializer='uniform'))
model.add(Dense(units = 1, activation='sigmoid', kernel_initializer='uniform'))
print('Training the model...')
Compile model
model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])
while running the model.fit()
Fit the model
model.fit(X_train,y_train,batch_size=32, epochs=10, verbose=1)
I am getting the Error
ValueError: Error when checking input: expected dense_36_input to have shape (None, 12) but got array with shape (140, 2)
machine-learning python neural-network keras
edited 2 mins ago
Stephen Rauch♦
1,52551330
asked 7 mins ago
angelangel
1
New contributor
angel is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
0
0
0
1
$begingroup$
create model
model=Sequential()
model.add(Dense(input_dim = 12, units = 10, activation='relu', kernel_initializer='uniform'))
model.add(Dense(units = 8, activation='relu', kernel_initializer='uniform'))
model.add(Dense(units = 1, activation='sigmoid', kernel_initializer='uniform'))
print('Training the model...')
Compile model
model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])
while running the model.fit()
Fit the model
model.fit(X_train,y_train,batch_size=32, epochs=10, verbose=1)
I am getting the Error
ValueError: Error when checking input: expected dense_36_input to have shape (None, 12) but got array with shape (140, 2)
machine-learning python neural-network keras
edited 2 mins ago
Stephen Rauch♦
1,52551330
asked 7 mins ago
angelangel
1
New contributor
angel is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
create model
model=Sequential()
model.add(Dense(input_dim = 12, units = 10, activation='relu', kernel_initializer='uniform'))
model.add(Dense(units = 8, activation='relu', kernel_initializer='uniform'))
model.add(Dense(units = 1, activation='sigmoid', kernel_initializer='uniform'))
print('Training the model...')
Compile model
model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])
while running the model.fit()
Fit the model
model.fit(X_train,y_train,batch_size=32, epochs=10, verbose=1)
I am getting the Error
ValueError: Error when checking input: expected dense_36_input to have shape (None, 12) but got array with shape (140, 2)
machine-learning python neural-network keras
machine-learning python neural-network keras
edited 2 mins ago
Stephen Rauch♦
1,52551330
asked 7 mins ago
angelangel
1
New contributor
angel is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited 2 mins ago
Stephen Rauch♦
1,52551330
asked 7 mins ago
angelangel
1
New contributor
angel is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited 2 mins ago
Stephen Rauch♦
1,52551330
edited 2 mins ago
Stephen Rauch♦
1,52551330
edited 2 mins ago
Stephen Rauch♦
1,52551330
1,52551330
asked 7 mins ago
angelangel
1
New contributor
angel is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 7 mins ago
angelangel
1
asked 7 mins ago
angelangel
1
1
New contributor
angel is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
angel is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
angel is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
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