"You can modify the code and tune hyperparameters to get instant feedback to accumulate practical experiences in deep

"Implemented with NumPy/MXNet, PyTorch, and

"Adopted at 200 universities from 50

What are the best ways to pick up Deep Learning skills as an engineer?

Answer 1 of 7 the most important thing is to learn from the experts of the field be it in person or online we have moo cs all over the internet and almost every mooc has a course on neural networks deep learning feel free to google it some good courses are the following 1 cs231n convolut

GitHub - pkmital/CADL: ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on “Creative Applications of Deep Learning w/ Tensorflow” #CADL

Archived contains historical course materials homework materials for the free mooc course on quot creative applications of deep learning w tensorflow quot cadl git hub pkmital cadl archive

Distill

Machine learning research should be clear dynamic and vivid distill is here to help

Feature Visualization

How neural networks build up their understanding of images

GitHub - explosion/thinc: 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

A refreshing functional take on deep learning compatible with your favorite libraries git hub explosion thinc a refreshing functional take on deep learning compatible with your favorite l

GitHub - fastai/fastbook: The fastai book, published as Jupyter Notebooks

The fastai book published as jupyter notebooks contribute to fastai fastbook development by creating an account on git hub

GitHub - google/jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Composable transformations of python num py programs differentiate vectorize jit to gpu tpu and more git hub google jax composable transformations of python num py programs differentiate ve