In previous tutorials, I’ve explained convolutional neural networks (CNN) and shown how to code them. The convolutional layer has proven to be a great success in the area of image recognition and processing in machine… Read More »Introduction to ResNet in TensorFlow 2
In this post, I’m going to cover the very important deep learning concept called transfer learning. Transfer learning is the process whereby one uses neural network models trained in a related domain to accelerate the development… Read More »Transfer learning in TensorFlow 2 tutorial
For those familiar with convolutional neural networks (if you’re not, check out this post), you will know that, for many architectures, the final set of layers are often of the fully connected variety. This is… Read More »An introduction to Global Average Pooling in convolutional neural networks
In a previous introductory tutorial on neural networks, a three layer neural network was developed to classify the hand-written digits of the MNIST dataset. In the end, it was able to achieve a classification accuracy around 86%. For a simple data set such as MNIST, this is actually quite poor. Further optimizations can bring densely… Read More »Convolutional Neural Networks Tutorial in PyTorch
In a previous tutorial, I demonstrated how to create a convolutional neural network (CNN) using TensorFlow to classify the MNIST handwritten digit dataset. TensorFlow is a brilliant tool, with lots of power and flexibility. However, for quick prototyping work it can be a bit verbose. Enter Keras and this Keras tutorial. Keras is a higher level library which… Read More »Keras tutorial – build a convolutional neural network in 11 lines
In the two previous tutorial posts, an introduction to neural networks and an introduction to TensorFlow, three layer neural networks were created and used to predict the MNIST dataset. They performed pretty well, with a successful prediction accuracy on the order of 97-98%. However, to take the next step in improving the accuracy of our networks,… Read More »Convolutional Neural Networks Tutorial in TensorFlow