Hi Good Day!
We think i've completely understood your initial requirements and ready to start working on it. For training Documents are selected into training and evaluation splits randomly by an algorithm. If documents are added to the datasets later, the initial training and evaluation splits will come from the new training and assessment splits. Lets jump into the chat box to discuss further.
As a senior developer, I've extensive experience in python, Django, flask. I'm well versed in Open cv, database scan algo, K mean algo, Hararical algo, density base algo, mean shift clustering algo, Image processing layers, PyTorch algo, Keras, DL4J, Caffe, Microsoft cognitive tool kit, supervised learning, unsupervised learning tec
I'm familiar with the topics you've mentioned and have :
- Perceptrons and backpropagation
- Backprop variations and hidden unit dynamics
- Image processing
- Language processing
- Reinforcement learning
- Autoencoders
Awating,
MB