ValueError: Input 0 is incompatible with layer sequential: expected shape=(None, None, 1), found...
【python報錯】 ValueError: Input 0 is incompatible with layer sequential: expected shape=(None, None, 1), found shape=[None, 1, 3] 報錯代碼： look_back=3 model.add(LSTM(32,input_shape=(look_back,1),return_sequ
相關文章
- 1. ValueError:Input 0 is incompatible with layer lstm_1: expected ndim=3,found ndim=2
- 2. ValueError: Input 0 of node ... was passed float from ... incompatible with expected float_ref.
- 3. 解決ValueError: Shape must be rank 1 but is rank 0 for ‘bn_conv1/Reshape_4’ (op: ‘Reshape’) with input
- 4. tensorflow "ValueError: None values not supported."
- 5. `if not x:` 和`if x is not None:`和`if not x is None:`
- 6. none
- 7. Select n numbers from 1 to m with all of array 'all' and none of array 'none'
- 8. keras報錯：ValueError: `steps_per_epoch=None` is only valid for a generator based on the `keras.utils.S
- 9. Exclusions: ----------- None Unconditional classes:
- 10. None
- 更多相關文章...
- • XSLT
- • Docker 安裝 Python - Docker教程
- • Kotlin學習（一）基本語法
- • Docker容器實戰(七) - 容器眼光下的文件系統
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
最新文章
- 1. 「插件」Runner更新Pro版，幫助設計師遠離996
- 2. 錯誤 707 Could not load file or assembly ‘Newtonsoft.Json, Version=12.0.0.0, Culture=neutral, PublicKe
- 3. Jenkins 2018 報告速覽，Kubernetes使用率躍升235%！
- 4. TVI-Android技術篇之註解Annotation
- 5. android studio啓動項目
- 6. Android的ADIL
- 7. Android卡頓的檢測及優化方法彙總（線下+線上）
- 8. 登錄註冊的業務邏輯流程梳理
- 9. NDK(1)創建自己的C/C++文件
- 10. 小菜的系統框架界面設計-你的評估是我的決策
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. ValueError:Input 0 is incompatible with layer lstm_1: expected ndim=3,found ndim=2
- 2. ValueError: Input 0 of node ... was passed float from ... incompatible with expected float_ref.
- 3. 解決ValueError: Shape must be rank 1 but is rank 0 for ‘bn_conv1/Reshape_4’ (op: ‘Reshape’) with input
- 4. tensorflow "ValueError: None values not supported."
- 5. `if not x:` 和`if x is not None:`和`if not x is None:`
- 6. none
- 7. Select n numbers from 1 to m with all of array 'all' and none of array 'none'
- 8. keras報錯：ValueError: `steps_per_epoch=None` is only valid for a generator based on the `keras.utils.S
- 9. Exclusions: ----------- None Unconditional classes:
- 10. None