sayarghoshroy/Intro_to_DL_tutorial
Material for introduction to Deep Learning Tutorials, Summer '20, '21
This project provides an introductory deep learning curriculum for students. It offers recorded lectures, interactive coding notebooks, and presentations to teach core concepts. Learners will understand how to build and train neural networks, process text and image data, and apply them to real-world tasks like sentiment analysis and image classification.
No commits in the last 6 months.
Use this if you are a student or a new learner interested in understanding the fundamentals of deep learning and getting hands-on experience with neural networks.
Not ideal if you are an experienced deep learning practitioner looking for advanced research topics or optimization algorithms.
Stars
16
Forks
2
Language
Jupyter Notebook
License
—
Category
Last pushed
Jul 02, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/sayarghoshroy/Intro_to_DL_tutorial"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
saturncloud/dask-pytorch-ddp
dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters...
pclubiitk/model-zoo
Implementations of various Deep Learning models in PyTorch and TensorFlow.
neuralmagic/deepsparse
Sparsity-aware deep learning inference runtime for CPUs
theairbend3r/how-to-train-your-neural-net
Deep learning research implemented on notebooks using PyTorch.
neuralmagic/sparsezoo
Neural network model repository for highly sparse and sparse-quantized models with matching...