## invalid use of incomplete type ‘RSA {aka struct rsa_st}’

If you are compiling code that use old openssl lib(such as openssl 1.0.2) with the latest openssl lib such as openssl 1.1.0, you will meet this error: invalid use of […]

If you are compiling code that use old openssl lib(such as openssl 1.0.2) with the latest openssl lib such as openssl 1.1.0, you will meet this error: invalid use of […]

In my experience in using Qt, I find it would be hard to make a business app without the help of Qt experts. In other words, you need to buy […]

When compiling with Mingw 32bit, the size of long and unsigned long is 4 bytes, the size of long long and unsigned long long is 8 bytes. To print a […]

If you use openssl RSA API to encrypt/decrypt/sign/verify, you will need a MODULUS, which is part of a RSA public key. To generate a MODULUS, first you need to generate […]

Softmax is unlike other activation functions such as tanh and sigmoid, which take one number as input and output one number. Softmax activation function takes several numbers as input and […]

MNIST dataset is a frequently used image dataset for neuron network and deep learning study. How to download the MNIST dataset? import tensorflow as tf (X_train, y_train), (X_test, y_test) = […]

tf.TensorArray is a class, not a function. You can use tf.TensorArray to construct a TensorArray operation: ta = tf.TensorArray(dtype=tf.float32, size=2) Here, the tensorarray contains 2 tensors. How to get […]

Consider the following example: a=tf.constant([[1,2,3],[4,5,6]],shape=(2,3),name=”a”) b=a+1 It will produce the following graph: We can see a constant tensorflow operation has two attributes: dtype is the type of the elements stored […]

Consider the following example: i = tf.get_variable(“i”, dtype=tf.int32, shape=[], initializer=tf.ones_initializer()) n = tf.constant(10) def cond(a, n): return a< n def body(a, n): a = a + 2 return a, n […]

A RNN(Recurrent Neural Network) layer is composed of a set of recurrent neurons. The output of each recurrent neuron is dependent not only on the input vector but also the […]