PyTorch is a deep learning framework that puts Python first. It is a python package that provides Tensor computation (like numpy) with strong GPU acceleration, Deep Neural Networks built on a tape-based autograd system. You can reuse your favorite python packages such as numpy, scipy and Cython to extend PyTorch when needed. 
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Usually one uses PyTorch either as a replacement for numpy to use the power of GPUs, a deep learning research platform that provides maximum flexibility and speed. PyTorch provides Tensors that can live either on the CPU or the GPU, and accelerate compute by a huge amount.

PyTorch is a deep learning framework that puts Python first. It is a python package that provides Tensor computation (like numpy) with strong GPU acceleration, Deep Neural Networks built on a tape-based autograd system. You can reuse your favorite python packages such as numpy, scipy and Cython to extend PyTorch when needed. 

PyTorch - Tensors and Dynamic neural networks in Python  with strong GPU acceleration

Theano is a Python library that allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays. It is built on top of NumPy. Its features include tight integration with NumPy, transparent use of a GPU, dynamic C code generation and lot more.

Theano - Optimizing compiler for evaluating mathematical expressions on CPUs and GPUs.

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PyTorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

Theano - Optimizing compiler for evaluating mathematical expressions on CPUs and GPUs.

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PyTorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

Theano - Optimizing compiler for evaluating mathematical expressions on CPUs and GPUs.

TechStack

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License