TensorFlow tf.gradients() function can return the gradient of a tensor. How to understand the result of it? We will use some examples to help tensorflow beginners to understand and use it in this tutorial.

Softmax function is widely used in deep learning, how about its gradient? We will discuss this topic in this tutorial for deep learning beginners.

TensorFlow tf.argmax() can allow us to get the index with the largest value across axes of a tensor, which is widely used in classification problems. However, does it support backprop and gradient operation in tensorflow? We will discuss this topic with an example in this tutorial.

When we have installed tensorflow by using whl file, we have got an error: ImportError: DLL load failed with error code -1073741795. Why this error occur and how to fix it. We will discuss these two topics in this tutorial.

TensorFlow can allow us to select elements from a tensor by ids. However, does this function support gradient operation in tensorflow? To address this issue, we will discuss this topic in this tutorial.

When we are installing tensorflow with whl file, we have encountered an error: Cannot uninstall ‘wrapt’. It is a distutils installed project. In this tutorial, we will introduce how to fix it for tensorflow beginners.

In this tutorial, we will discuss how to compute the gradient of svd after replacing tf.svd() with numpy.linalg.svd() with some examples, you can learn and how to do from this tutorial.

SVD (Singular Value Decomposition) is common used in recommend system. However, if you are using it in your deep learning model, you should notice: the gradient of svd my be different in numpy and tensorflow.

TensorFlow tf.where() function can help us to select tensor by condition. In this tutorial, we will discuss how to use this function correctly with some examples.