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.nn.max_pool() function can implement a max pool operation on a input data, in this tutorial, we will introduce how to use it to compress an image.
TensorFlow tf.nn.max_pool() function is one part of building a convolutional network. In this tutorial, we will introduce how to use it correctly.
TensorFlow tf.nn.conv2d() function can build a convolution network. However, how about the shape of returned tensor? In this tutorial, we will discuss this topic.
TensorFlow tf.nn.conv2d() function is widely used to build a convolution network in deep learning. In this tutorial, we will use some examples to show how to use it correctly.
When you are using convolution networks in deep learning, you may notice ‘SAME’ and ‘VALID’ padding. In this tutorial, we will introduce the difference between them.
Vector Convolution is a special operation for vector. In this tutorial, we will use some simple examples to illustrate it for deep learning beginners.
When you are using tensorflow tf.get_variable() function to create a new variable, you may get this TypeError: Tensor objects are only iterable when eager execution is enabled. In this tutorial, we will introduce you how to fix it.
TensorFlow tf.nn.dynamic_rnn() function allows us to create a dynamic rnn or lstm model. However, you may get a ValueError: If there is no initial_state, you must give a dtype. In this tutorial, we will introduce how to fix this error.
Matrix operations are the basic of deep learning, we will list some laws of matrix operations in this tutorial, these laws may help us to simply the computation of formulas.
Dense Layer is also called fully connected layer, which is widely used in deep learning model. In this tutorial, we will introduce it for deep learning beginners.