Python keras.layers Module

This page shows the popular functions and classes defined in the keras.layers module. The items are ordered by their popularity in 40,000 open source Python projects. If you can not find a good example below, you can try the search function to search modules.

• 1. Dense()    
  Used in 923 projects
• 2. Input()    
  Used in 743 projects
• 3. Dropout()    
  Used in 594 projects
• 4. Activation()    
  Used in 503 projects
• 5. Flatten()    
  Used in 473 projects
• 6. Conv2D()    
  Used in 436 projects
• 7. MaxPooling2D()    
  Used in 350 projects
• 8. BatchNormalization()    
  Used in 293 projects
• 9. Lambda()    
  Used in 291 projects
• 10. LSTM    
  Used in 235 projects
• 11. Reshape()    
  Used in 193 projects
• 12. Embedding()    
  Used in 178 projects
• 13. Concatenate()    
  Used in 165 projects
• 14. concatenate()    
  Used in 149 projects
• 15. TimeDistributed()    
  Used in 132 projects
• 16. GlobalAveragePooling2D()    
  Used in 131 projects
• 17. ZeroPadding2D()    
  Used in 122 projects
• 18. Add()    
  Used in 120 projects
• 19. Convolution2D()    
  Used in 109 projects
• 20. merge()    
  Used in 104 projects
• 21. add()    
  Used in 101 projects
• 22. UpSampling2D()    
  Used in 99 projects
• 23. AveragePooling2D()    
  Used in 99 projects
• 24. Conv1D()    
  Used in 93 projects
• 25. Bidirectional()    
  Used in 92 projects
• 26. Layer()    
  Used in 85 projects
• 27. GlobalMaxPooling2D()    
  Used in 56 projects
• 28. Conv2DTranspose()    
  Used in 55 projects
• 29. MaxPooling1D()    
  Used in 52 projects
• 30. GRU    
  Used in 49 projects
• 31. LeakyReLU()    
  Used in 47 projects
• 32. GlobalMaxPooling1D()    
  Used in 42 projects
• 33. Permute()    
  Used in 42 projects
• 34. Conv3D()    
  Used in 40 projects
• 35. RepeatVector()    
  Used in 39 projects
• 36. Multiply()    
  Used in 31 projects
• 37. MaxPooling3D()    
  Used in 30 projects
• 38. Merge()    
  Used in 29 projects
• 39. MaxPool2D()    
  Used in 29 projects
• 40. Masking()    
  Used in 26 projects
• 41. Convolution1D()    
  Used in 25 projects
• 42. multiply()    
  Used in 24 projects
• 43. SeparableConv2D()    
  Used in 23 projects
• 44. SpatialDropout1D()    
  Used in 21 projects
• 45. InputSpec()    
  Used in 20 projects
• 46. GlobalAveragePooling1D()    
  Used in 20 projects
• 47. SimpleRNN()    
  Used in 19 projects
• 48. DepthwiseConv2D()    
  Used in 17 projects
• 49. AveragePooling3D()    
  Used in 16 projects
• 50. ELU    
  Used in 13 projects
• 51. dot()    
  Used in 13 projects
• 52. Cropping2D()    
  Used in 13 projects
• 53. ReLU()    
  Used in 13 projects
• 54. Softmax()    
  Used in 12 projects
• 55. CuDNNLSTM()    
  Used in 12 projects
• 56. CuDNNGRU()    
  Used in 12 projects
• 57. UpSampling3D()    
  Used in 11 projects
• 58. Dot()    
  Used in 11 projects
• 59. SpatialDropout2D()    
  Used in 10 projects
• 60. PReLU()    
  Used in 10 projects
• 61. GaussianNoise()    
  Used in 9 projects
• 62. Subtract()    
  Used in 9 projects
• 63. AveragePooling1D()    
  Used in 8 projects
• 64. Wrapper()    
  Used in 8 projects
• 65. ZeroPadding1D()    
  Used in 8 projects
• 66. GlobalMaxPool1D()    
  Used in 8 projects
• 67. InputLayer()    
  Used in 7 projects
• 68. Recurrent()    
  Used in 7 projects
• 69. RNN    
  Used in 7 projects
• 70. average()    
  Used in 7 projects
• 71. Convolution3D()    
  Used in 6 projects
• 72. ZeroPadding3D()    
  Used in 6 projects
• 73. GlobalAveragePooling3D()    
  Used in 5 projects
• 74. LocallyConnected1D()    
  Used in 5 projects
• 75. SpatialDropout3D()    
  Used in 5 projects
• 76. ConvLSTM2D()    
  Used in 5 projects
• 77. deserialize()    
  Used in 5 projects
• 78. Average()    
  Used in 5 projects
• 79. ActivityRegularization()    
  Used in 5 projects