Projects to learn Deep Learning concepts using Python implementation using datasets from Kaggle.

Topics for projects involve:

• Using CNN on Sign Language images to identify alphabets of the language(Supervised learning classification)
• Using AutoEncoder Networks to colorize gray images by finding the latent space of image data
• Using LSTM networks(Pytorch) on stock market dataset to predict updcoming prices
• Using LSTM network(Tensorflow) on Alcohol sales data to predict the sales value
• Using Probabilistic Graph models
• Using Semantic Segmentation on dash cam images for driving cars using U-net framework in Tensorflow
• Using different models of Reinforcement learning to test on OpenAI Gym environment of 'CarRacing-v0'
• Using Computer Vision on images for mask detection