Both PyTorch and TensorFlow support deep learning and transfer learning. Transfer learning, which is sometimes called custom machine learning, starts with a pre-trained neural network model and ...

Reinforcement Learning and Deep Learning. TensorFlow’s capabilities in reinforcement learning are worth noting, particularly its ability to facilitate complex, state-of-the-art algorithms in ...

This isn’t intended to be a list of reasons that “TensorFlow sucks” and “PyTorch is brilliant,” but a set of reasons that together make PyTorch the framework I turn to first.

Key Takeaways Mastering Python, math, and data handling is the foundation of a successful ML career.Real-world projects and ...

Is PyTorch better than TensorFlow for general use cases? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world ...

PyTorch is an open-source machine learning library developed by Facebook’s AI Research lab (FAIR). It’s known for its flexibility, ease of use, and as a powerful tool for deep learning ...

Understand the power of word embeddings in deep learning — with detailed Python and RNN integration. #RNN #WordEmbeddings ...

While TensorFlow is the workhorse of Google’s ML efforts, it’s not the only open-source ML training library. In recent years the open-source PyTorch framework, originally created by Facebook ...

PyTorch is a deep learning framework that’s used to power hundreds of AI projects, specifically machine learning applications. Created and open-sourced by Facebook back in 2016, ...