Deep Learning With PyTorch - Full Course

Course Overview

Deep Learning With PyTorch - Full Course is an excellent course for learners to gain a comprehensive understanding of deep learning and its applications. It covers the fundamentals of deep learning, such as installation, tensor basics, autograd, backpropagation, gradient descent, training pipeline, linear regression, logistic regression, dataset and dataloader, dataset transforms, softmax and crossentropy, activation functions, feed forward net, CNN, transfer learning, tensorboard, save & load models, and more. Learners will gain a strong foundation in deep learning and its related concepts, such as machine learning, artificial intelligence, neural networks, data science, and Python. This course is suitable for learners of all levels, from beginners to advanced, and will help them to develop their skills in deep learning and its related fields.