Deep learning tutorial for PyData
PyTorch Tutorial for Deep Learning Researchers
This tutorial demonstrates the basic workflow for Deep Learning.You should be familiar with basic linear algebra,Python and the Jupyter Notebook editor. It also helps if you have a basic understanding of Machine Learning and classification.
Deep Learning and Artificial Intelligence Tutorial @ LMU WS 2018/19
Deep learning tutorials for classification of MNIST digits using CNNs and solutions to assignments for Udacity's deep learning course
Getting started with docker for machine learning/deep learning libraries and frameworks. + ℳ 𝓛
Course material for introduction to deep learning in TensorFlow
Introduction to Deep Neural Networks with Keras and Tensorflow
a deep learning tutorial containing FNN, CNN, RNN, XAI, VAE, GAN, etc.
In-depth tutorials for implementing deep learning models on your own with PyTorch.
Simple example of using the Accord .NET C# library to implement a deep-learning neural network (deep belief network) with machine learning. Solves XOR and an ASCII digit dataset.
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