Deeplearing

1. Import packages: import torch import torch.nn as nn import torchvision import torchvision.transforms as transforms import matplotlib.pyplot as plt 2. Check if GPU resource is allowed to use: device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') 3. Setting hyperparameters: input_size = 784 # 28x28 hidden_size = 100 num_class = 10 num_epochs = 10 batch_size =…

Did you ever think about how Tony Stark in Iron man movies controls everything with hand gestures? Actually he was using AI technology which can detect his hands and classify what gesture he is creating with his hands. So I’ve done a project which will classify and detect like or…

Basic Concepts, Understanding and some applications of Neural Network. A Neural Network is a method in artificial intelligence that teaches computers to process data in a way that is inspired by the human brain. It is a type of machine learning process, called Deep Learning, that uses interconnected nodes or…

Loss functions are also called error functions or cost functions. It helps us in evaluating how well our algorithm (model) works on dataset or how our model fits the dataset. Loss value will be high when our predictions are totally off and if predictions are pretty close to target values…

Keynote on Neuro-Symbolic AI -Building Sentient Machines at BUITEMS Quetta.

This article is about the implementation methodology of neural networks in MicroPython that run on an embedded MCU. A fully connected feed forward network is designed and tested in the Micropython environment. The hyperparameters are imported from the trained model in Tensorflow and used in the developed model for validation…

Spleen is considered one of the vital human organs that plays a very important role , its importance is due to the major role in immunity system ,however human being can survive without it due to the liver functionality as reported by the NHS [1] ,My main idea here is…

Deep Learning(DL) is the subset of Machine Learning (ML) which is the subset of Artificial Intelligence (AI). Why do we use ML or DL? Why not 🤖(!?) For a complex problem, can you think of all the rules? Courses Zero to Mastery https://zerotomastery.io/courses/learn-tensorflow/ Deep Learning A-Z™: Hands-On Artificial Neural Networks https://www.udemy.com/course/deeplearning/ Deep Learning and Computer Vision A-Z™: OpenCV, SSD &…

I know how annoying it is to not understand what to do next once you fit a model on the training data set. You should know how to judge your model's accuracy and loss curves. These learning curves will guide you to your next step. The key aspects here are…