AI/ML Techniques

PyTorch Tutorial: How to Develop Deep Learning Models with Python

Last Updated on May 1, 2023 Predictive modeling with deep learning is a skill that modern developers need to know.…

2 years ago

Interactive Fleet Learning

Figure 1: “Interactive Fleet Learning” (IFL) refers to robot fleets in industry and academia that fall back on human teleoperators…

2 years ago

Deep Learning with PyTorch (9-Day Mini-Course)

Last Updated on April 5, 2023 Deep learning is a fascinating field of study and the techniques are achieving world…

2 years ago

Koala: A Dialogue Model for Academic Research

In this post, we introduce Koala, a chatbot trained by fine-tuning Meta’s LLaMA on dialogue data gathered from the web.…

2 years ago

Building a Logistic Regression Classifier in PyTorch

Logistic regression is a type of regression that predicts the probability of an event. It is used for classification problems…

2 years ago

Training Logistic Regression with Cross-Entropy Loss in PyTorch

Last Updated on March 28, 2023 In the previous session of our PyTorch series, we demonstrated how badly initialized weights…

2 years ago

Text Generation with LSTM in PyTorch

Recurrent neural network can be used for time series prediction. In which, a regression neural network is created. It can…

2 years ago

LSTM for Time Series Prediction in PyTorch

Long Short-Term Memory (LSTM) is a structure that can be used in neural network. It is a type of recurrent…

2 years ago

Handwritten Digit Recognition with LeNet5 Model in PyTorch

A popular demonstration of the capability of deep learning techniques is object recognition in image data. The “hello world” of…

2 years ago

Building a Convolutional Neural Network in PyTorch

Neural networks are built with layers connected to each other. There are many different kind of layers. For image related…

2 years ago