TensorFlow is an open source platform for machine learning from Google. It can make us to build some AI applications easily. It is a popular deep learning platform in word.
In this page, we write some tutorials and examples on how to use tensorflow, you can build some AI applications by following our tutorials and examples.
tf.layers.conv1d() can build a 1D convolution layer easily. In this tutorial, we will use some examples to show you how to use this function correctly.
Instance Normalization is proposed in paper: Instance Normalization: The Missing Ingredient for Fast Stylization. It also be used in CycleGAN. In this tutorial, we will introduce how to implement it using tensorflow.
In this tutorial, we will use an example to show you how to use tf.reduce_prod() correctly. This function is very similar to tf.reduce_mean() or tf.reduce_sum().
When we are training a tensorflow model, we may get this error: Failed precondition: Attempting to use uninitialized value. In this tutorial, we will introduce you how to fix it.
In this tutorial, we will introduce how to fix ValueError: Tried to convert ‘x’ to a tensor and failed. Error: None values not supported when training a tensorflow model.