Human Activity Recognition using TensorFlow (CNN + LSTM) | 2 Methods

In this post, you’ll learn to implement human activity recognition on videos using a Convolutional Neural Network combined with a Long-Short Term Memory Network, we’ll be using two different architectures that you will create in TensorFlow We will also cover some theories about other approaches that can also be used to classify the videos. So we'll be doing Video Classification in order to perform activity recognition.

00:00 Intro
15:32 step 1; Download and Visualize the Data with its Labels
22:36 Step 2; Process the Dataset
34:33 Step 3; Split the Data into Train and Test Set
35:50 Step 4; Implement the ConvLTSM Approach
57:50 Step 5; Implement the LRCN Approach
01:07:45 Step 6; Test the Best Performing Model on Youtube videos

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#tensorflow #keras #opencv #videoclassifcation #cnn #lstm #machinelearning #deeplearning #computervison