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ValueError: Error when checking input: expected dense_36_input to have shape (None, 12) but got array with shape (140, 2)

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

share|improve this question

edited 29 mins ago

Stephen Rauch♦

1,52551330

asked 34 mins ago

angelangel

11

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.

$endgroup$

• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  @Stephen Rauch Sir will you please help to solve this problem
  $endgroup$
  – angel
  17 mins ago
  

  
  
  
  

add a comment | 

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

share|improve this question

edited 29 mins ago

Stephen Rauch♦

1,52551330

asked 34 mins ago

angelangel

11

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.

$endgroup$

• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  @Stephen Rauch Sir will you please help to solve this problem
  $endgroup$
  – angel
  17 mins ago
  

  
  
  
  

add a comment | 

$begingroup$

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

share|improve this question

edited 29 mins ago

Stephen Rauch♦

1,52551330

asked 34 mins ago

angelangel

11

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.

$endgroup$

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...')

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

model.fit(X_train,y_train,batch_size=32, epochs=10, verbose=1)

share|improve this question

edited 29 mins ago

Stephen Rauch♦

1,52551330

asked 34 mins ago

angelangel

11

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.

share|improve this question

edited 29 mins ago

Stephen Rauch♦

1,52551330

asked 34 mins ago

angelangel

11

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 29 mins ago

Stephen Rauch♦

1,52551330

edited 29 mins ago

Stephen Rauch♦

1,52551330

asked 34 mins ago

angelangel

11

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 34 mins ago

angelangel

11