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 […]
the SSL/TLS handshake failed and the encrypted channel could not be established. The sslErrors() signal should have been emitted.
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 […]
How to printf long long?
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 […]
How to generate MODULUS for RSA using openssl?
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 and cross entropy
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 […]
How to download the MNIST images?
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) = […]
Tensorflow TensorArray
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 […]
Attributes of tensorflow operations
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 […]
How is tensorflow while_loop implemented?
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 […]
Learn Hands-On Machine Learning with Scikit-Learn and TensorFlow-Chapter 14
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 […]