Learn how to preprocess video data and load it into a TensorFlow model. Loading video data into a deep learning model is similar to how you would load in image data, but with an extra dimension. Shilpa Kancharla, a TensorFlow Developer Relation Engineer, introduces how to split videos into frames, or images, in this tutorial. We’ll use Python code snippets so you can see how it’s done. Understanding how to use deep learning with video was helpful to me when I studied computer vision, and I hope it will prove useful to you as well.
Resources:
You can find the code from this video here → https://goo.gle/3XxGkUU
Loading and preprocessing video data tutorial → https://goo.gle/3Xxc10G
Video classification with Keras and Tensorflow tutorial → https://goo.gle/3Zao8SL
Transfer learning with MoViNet → https://goo.gle/40ZtDFu
Watch more ML Tech Talks → https://goo.gle/ml-tech-talks
Subscribe to TensorFlow → https://goo.gle/TensorFlow