tensorflow2 api目录-马育民老师

### tf

- [tf.Tensor](https://www.malaoshi.top/show_1EF4ZcVklrdc.html "tf.Tensor")
- [tf.constant](https://www.malaoshi.top/show_1EF4ZcVklrdc.html "tf.constant")
- [tf.Variable](https://www.malaoshi.top/show_1EF4ZcqPG0Aq.html "tf.Variable")
- [tf.identity()](https://www.malaoshi.top/show_1EF4gksfKWdr.html "tf.identity()")
- [tf.boolean_mask](https://www.malaoshi.top/show_1EF5DBlceZ8l.html "tf.boolean_mask")
- [tf.one_hot](https://www.malaoshi.top/show_1EF5E6kX4Tmc.html "tf.one_hot")
- [tf.meshgrid() 构建n维网格](https://www.malaoshi.top/show_1EF5FOM7EMvN.html "tf.meshgrid() 构建n维网格")
- [@tf.function](https://www.malaoshi.top/show_1EF5HFCDp8fP.html "@tf.function")
 - [@tf.function-跟踪(tracing)-传递python参数](https://www.malaoshi.top/show_1EF5Hngv4moE.html "@tf.function-跟踪(tracing)-传递python参数")
 - [@tf.function-跟踪(tracing)-传递tensor张量](https://www.malaoshi.top/show_1EF5Hngzo3yF.html "@tf.function-跟踪(tracing)-传递tensor张量")
- [tf.print()](https://www.malaoshi.top/show_1EF5Hd5V0eaG.html "tf.print()")
- [tf.while_loop循环语句](https://www.malaoshi.top/show_1EF5Hb64AgRF.html "tf.while_loop循环语句")
- [tf.TensorArray（tensor动态数组）](https://www.malaoshi.top/show_1EF5HCYsMAdE.html "tf.TensorArray（tensor动态数组）")
- [tf.cond判断tensor的值](https://www.malaoshi.top/show_1EF5HE8ESMfb.html "tf.cond判断tensor的值")
- [tf.convert_to_tensor](https://www.malaoshi.top/show_1EF5HEq65St5.html "tf.convert_to_tensor")
- [tf.py_function](https://www.malaoshi.top/show_1EF5Hns9WpxP.html "tf.py_function")

- [tf.GradientTape()自动微分求导](https://www.malaoshi.top/show_1EF4gqBjRRIF.html "tf.GradientTape()自动微分求导")
- [tf.einsum()爱因斯坦求和约定](https://www.malaoshi.top/show_1EF4iknVnZK4.html "tf.einsum()爱因斯坦求和约定")
- [tf.clip_by_value()](https://www.malaoshi.top/show_1EF4iwoMSgIE.html "tf.clip_by_value()")

矩阵操作
- [tf.concat](https://www.malaoshi.top/show_1EF5CzQ0aHQ8.html "tf.concat")
- [tf.tile](https://www.malaoshi.top/show_1EF5DBbNP8rP.html "tf.tile")
- [tf.stack（堆叠tensor）](https://www.malaoshi.top/show_1EF5IipGjmzo.html "tf.stack")
- tf.split
- [tf.reshape](https://www.malaoshi.top/show_1EF5a6BOETEz.html "tf.reshape")

矩阵索引操作
- [tf.gather](https://www.malaoshi.top/show_1EF5all8g9O0.html "tf.gather")
- [tf.gather_nd](https://www.malaoshi.top/show_1EF5an310i1q.html "tf.gather_nd")
- [tf.where](https://www.malaoshi.top/show_1EF5amHQar0r.html "tf.where")
- [tf.boolean_mask 布尔掩码（布尔索引）](https://www.malaoshi.top/show_1EF5dAquWY0V.html "tf.boolean_mask 布尔掩码（布尔索引）")

切片
- tf.slice
- tf.strided_slice
- tf.gather

维度操作：
- [tf.newaxis的作用](https://www.malaoshi.top/show_1EF4hUvlJoiS.html "tf.newaxis的作用")
- [ tf.expand_dims()](https://www.malaoshi.top/show_1EF4hVIIflen.html " tf.expand_dims()")
- [tf.transpose（转置）](https://www.malaoshi.top/show_1EF5Iiv4x54x.html "tf.transpose（转置）")
- [tf.squeeze删除维度](https://www.malaoshi.top/show_1EF5LMbQ5BGe.html "tf.squeeze删除维度")

- [tf.shape 返回tensor的形状](https://www.malaoshi.top/show_1EF5bVfx2iZW.html "tf.shape 返回tensor的形状")
- [tf.rank 返回tensor的维度](https://www.malaoshi.top/show_1EF5bVVRcWII.html "tf.rank 返回tensor的维度")

张量操作：
https://www.cnblogs.com/fwl8888/p/9791879.html

### tf.data
数据处理
tensorflow新增加了 tf.data 模块，提供更加强大的 读取数据 功能

tf.data模块可以 方便 且 快速 的的 读取数据、处理数据

-  [tf.data.Dateset](https://www.malaoshi.top/show_1EF47ZxC4RYZ.html "tf.data")
- [tf.data.TFRecordDataset](https://www.malaoshi.top/show_1EF57c9xJZe8.html "tf.data.TFRecordDataset")

### tf.io 
- [tf.io.read_file()](https://www.malaoshi.top/show_1EF4VxYA51W2.html "tf.io.read_file()")
- [tf.io.decode_jpeg()](https://www.malaoshi.top/show_1EF4VxkN2o8B.html "tf.io.decode_jpeg()")
- [tf.io.encode_jpeg()](https://www.malaoshi.top/show_1EF54XrwrTkx.html "tf.io.encode_jpeg()")
- [tf.io.write_file()](https://www.malaoshi.top/show_1EF54XsoXoKy.html "tf.io.write_file()")
- [tf.io.FixedLenFeature](https://www.malaoshi.top/show_1EF57c9xJZe8.html "tf.io.FixedLenFeature")
- [tf.io.VarLenFeature](https://www.malaoshi.top/show_1EF57c9xJZe8.html "tf.io.VarLenFeature")
- [tf.io.parse_single_example](https://www.malaoshi.top/show_1EF57c9xJZe8.html "tf.io.parse_single_example")
- [tf.io.TFRecordWriter](https://www.malaoshi.top/show_1EF57aDz46fN.html "tf.io.TFRecordWriter")

##### tf.io.gfile
- [tf.io.gfile.GFile()](https://www.malaoshi.top/show_1EF57YStMwem.html "tf.io.gfile.GFile()")

### tf.image
- [tf.image.convert_image_dtype()](https://www.malaoshi.top/show_1EF4hblZFx81.html "tf.image.convert_image_dtype()")
- [tf.image.rgb_to_grayscale()](https://www.malaoshi.top/show_1EF4XaQuX6lx.html "tf.image.rgb_to_grayscale()")
- [tf.image.resize()改变图像大小](https://www.malaoshi.top/show_1EF4XayTFLyw.html "tf.image.resize()改变图像大小")
- [tf.image.extract_patches提取图片区域](https://www.malaoshi.top/show_1EF5FaeT6qdW.html "tf.image.extract_patches提取图片区域")
- [tf.image.non_max_suppression()非极大值抑制](https://www.malaoshi.top/show_1EF5allkhAA1.html "tf.image.non_max_suppression()非极大值抑制")

更多图像处理参见：
https://www.cnblogs.com/kuaizifeng/archive/2018/08/17/9490669.html

### tf.math
跟数学计算相关的操作，其很多别名都省略math，如：tf.add
- [tf.math.add(tf.add)](https://www.malaoshi.top/show_1EF5CyQ9gEWb.html "tf.math.add(tf.add)")
- [tf.math.add_n()](https://www.malaoshi.top/show_1EF4jL2wPDjG.html "tf.math.add_n()")
- [tf.math.argmax()](https://www.malaoshi.top/show_1EF4LCNXBuQr.html "tf.math.argmax()")
- [tf.math.reduce_mean()](https://www.malaoshi.top/show_1EF4jKTQeHH2.html "tf.math.reduce_mean()")
- [tf.math.reduce_sum（tf.reduce_sum）](https://www.malaoshi.top/show_1EF5D4EtYRxt.html "tf.math.reduce_sum（tf.reduce_sum）")
- [tf.math.exp（tf.exp）](https://www.malaoshi.top/show_1EF5DBAlU7fZ.html "tf.math.exp（tf.exp）")
- [tf.math.sigmoid（tf.sigmoid）](https://www.malaoshi.top/show_1EF5DLAuBptO.html "tf.math.sigmoid（tf.sigmoid）")
- [tf.math.less_equal 小于等于运算](https://www.malaoshi.top/show_1EF5dAMj1uv3.html "tf.math.less_equal 小于等于运算")
- [tf.math.less 小于运算](https://www.malaoshi.top/show_1EF5dAyBVGle.html "tf.math.less 小于运算")
- [tf.math.greater_equal 大于等于运算](https://www.malaoshi.top/show_1EF5dB233Uyi.html "tf.math.greater_equal 大于等于运算")
- [tf.math.greater 大于运算](https://www.malaoshi.top/show_1EF5dB3frngj.html "tf.math.greater 大于运算")

### tf.train
- [tf.train.Example](https://www.malaoshi.top/show_1EF57aDz46fN.html "tf.train.Example")
- [tf.train.Features](https://www.malaoshi.top/show_1EF57aDz46fN.html "tf.train.Features")
- [tf.train.Feature](https://www.malaoshi.top/show_1EF57aDz46fN.html "tf.train.Feature")
- [tf.train.BytesList](https://www.malaoshi.top/show_1EF57aDz46fN.html "tf.train.BytesList")
- [tf.train.FloatList](https://www.malaoshi.top/show_1EF57aDz46fN.html "tf.train.FloatList")
- [tf.train.Int64List](https://www.malaoshi.top/show_1EF57aDz46fN.html "tf.train.Int64List")

### tf.nn
用于原始神经网络（Neural Net）操作的包装器

- [tf.nn.space_to_depth（tf.space_to_depth）](https://www.malaoshi.top/show_1EF5ECmtZF7F.html "tf.nn.space_to_depth（tf.space_to_depth）")
- [tf.nn.softmax](https://www.malaoshi.top/show_1EF5FDvcm8hW.html "tf.nn.softmax")

### tf.linalg（线性代数相关操作）
- [tf.linalg.matmul（tf.matmul）](https://www.malaoshi.top/show_1EF5HBEDFsNz.html "tf.linalg.matmul（tf.matmul）")

### 其他
- [tf.dtypes.cast类型转换](https://www.malaoshi.top/show_1EF54XSPqhyE.html "tf.dtypes.cast类型转换")

原文出处：https://malaoshi.top/show_1EF4RVSVAOiX.html