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💻 Brevísima introducción al Deep Learning con Pytorch (NB in English)
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01_TensorsAndGPU.ipynb
02_ConvolutionalNeuralNetwork.ipynb
03_GenerativeAdversarialNetworks.ipynb
README.md
requirements.txt

README.md

Brevísima Introducción a Deep Learning con Pytorch

Francisco Carrillo-Perez

Python Granada - 03/05/2019


Introduction to Deep Learning using Pytorch. We will dive into Convolutional Neural Networks and Generative Adversarial Networks.

01. Tensors and GPU

Concepts about tensors and how to execute code on the GPU.

01_TensorsAndGPU.ipynb (colab)

02. Convolutional Neural Networks

Introduction on how to code a Convolutional Neural Network with Pytorch and run it on GPU. MNIST dataset has been used as a toy example.

02_ConvolutionalNeuralNetwork.ipynb (colab)

03. Generative Adversarial Networks

Introduction to how to code a Generative Adversarial Network with Pytorch and run it on GPU. MNIST dataset has been used as a toy example.

03_GenerativeAdversarialNetworks.ipynb (colab)

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