Tag: AI/ML Techniques

Last Updated on May 1, 2023 Predictive modeling with deep learning is a skill that modern developers need to know. PyTorch is the premier open-source deep learning framework developed and maintained by Facebook. At its core, PyTorch is a mathematical library that allows you to perform efficient computation and automatic differentiation on graph-based models. Achieving …

Read more “PyTorch Tutorial: How to Develop Deep Learning Models with Python”

Last Updated on April 5, 2023 Deep learning is a fascinating field of study and the techniques are achieving world class results in a range of challenging machine learning problems. It can be hard to get started in deep learning.Which library should you use and which techniques should you focus on? In this 9-part crash …

Read more “Deep Learning with PyTorch (9-Day Mini-Course)”

Logistic regression is a type of regression that predicts the probability of an event. It is used for classification problems and has many applications in the fields of machine learning, artificial intelligence, and data mining. The formula of logistic regression is to apply a sigmoid function to the output of a linear function. This article …

Read more “Building a Logistic Regression Classifier in PyTorch”

Last Updated on March 28, 2023 In the previous session of our PyTorch series, we demonstrated how badly initialized weights can impact the accuracy of a classification model when mean square error (MSE) loss is used. We noticed that the model didn’t converge during training and its accuracy was also significantly reduced. In the following, …

Read more “Training Logistic Regression with Cross-Entropy Loss in PyTorch”

Recurrent neural network can be used for time series prediction. In which, a regression neural network is created. It can also be used as generative model, which usually is a classification neural network model. A generative model is to learn certain pattern from data, such that when it is presented with some prompt, it can …

Read more “Text Generation with LSTM in PyTorch”

Long Short-Term Memory (LSTM) is a structure that can be used in neural network. It is a type of recurrent neural network (RNN) that expects the input in the form of a sequence of features. It is useful for data such as time series or string of text. In this post, you will learn about …

Read more “LSTM for Time Series Prediction in PyTorch”

A popular demonstration of the capability of deep learning techniques is object recognition in image data. The “hello world” of object recognition for machine learning and deep learning is the MNIST dataset for handwritten digit recognition. In this post, you will discover how to develop a deep learning model to achieve near state-of-the-art performance on …

Read more “Handwritten Digit Recognition with LeNet5 Model in PyTorch”

Neural networks are built with layers connected to each other. There are many different kind of layers. For image related applications, you can always find convolutional layers. It is a layer with very few parameters but applied over a large sized input. It is powerful because it can preserve the spatial structure of the image. …

Read more “Building a Convolutional Neural Network in PyTorch”