227
edits
Changes
Jump to navigation
Jump to search
→Progress Log
***Pytorch: Coding is easy, so it has a flatter learning curve, Supports dynamic graphs so you can adjust on-the-go, Supports GPU acceleration.
***TensorFlow: Flexibility, Contains several ready-to-use ML models and ready-to-run application packages, Scalability with hardware and software, Large online community, Supports only NVIDIA GPUs, A slightly steep learning curve
*Initiate the idea of data preprocessing: create proper input dataset for the CNN model (IN PROGRESS) '''5/1/2019''' *Research on how to feed Mixed data: categorical + images to our model**https://www.pyimagesearch.com/2019/02/04/keras-multiple-inputs-and-mixed-data/*Object detection using CNN**https://gluon.mxnet.io/chapter08_computer-vision/object-detection.html
