TensorFlow Versus PyTorch
TensorFlow and PyTorch are two of the most popular deep learning frameworks that are widely used by researchers and practitioners to build, train, and deploy deep learning models. Both of these frameworks have their own strengths and weaknesses, and choosing the right one depends on your specific needs and preferences. Here are some differences between […]Read More
10 Pros And 10 Cons Of PyTorch
PyTorch, as a machine learning framework, also have its advantages and disadvantages when critically examined, here are some; Pros of PyTorch Easy to use: PyTorch has a simple and intuitive syntax, making it easy to learn and use. Dynamic computation graph: PyTorch uses a dynamic computation graph, which allows users to change the graph on […]Read More
What Is PyTorch And How Does It Work?
PyTorch is a powerful and flexible open-source machine learning framework that allows users to build and train deep neural networks. It is based on the Torch library and uses a dynamic computational graph, which means that the graph is built on the fly during the execution of the program. Here’s how PyTorch works: Tensors: PyTorch […]Read More