Desciptions only: 1. Image Classification For Image classification binary, CNN will have one nueron at output layer. In this experiment of Image classification, sample images of dogs are trained , tested and prediction using a basic CNN Network. 2. Actor Age groups For Image classification and labeling the images into Young, Middle, and Old in this experiment, A CNN of three layers used and by inputting training data with labeling. 3. Hyper parameted tuning Hyper parameters are the parameters given in the program. Tuning involves modifying parameters to try perforamce 4. Sequential data prediction Training Sequential data prediction models from various days . 5. Image denoising Training Image noinse models to denoise roman numbers 6. YOLO YOLO prgromas are used to detect objects. 7. Binary logistic loss Optimization purpose 8. Alexnet CIFAR Dataset and Classifcation of CIFAR -10, ...