Action Recognition – Kinetics-400

Introduction Video classification is a common and complex area in machine learning. Unlike other vision tasks that contain only spatial information (Segmentation, Object Detection, Mono-Depth), the addition of the temporal dimension makes error analysis and pinpointing failures root-cause especially challenging. In this blog, we explore that challenge through the lens of Tensorleap, a powerful platform […]

The MNIST Dataset

In this example, we used the MNIST dataset (handwritten digits) to train a convolutional neural network (CNN) for image classification, and reached a validation accuracy of ~0.98 on our trained model.

CelebA Dataset Gender and Age Group Prediction with MobileNetV2

This project showcases a deep learning classification task for predicting the gender and age group of face individuals in images. We train a MobileNetV2 model to perform this task on CelebA benchmark using Keras and Tensorflow implementation.