A Jupyter notebook with an example of a Deep Convolutional Neural Network for Facial Landmarks Detection
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Updated
Jul 5, 2017 - HTML
A Jupyter notebook with an example of a Deep Convolutional Neural Network for Facial Landmarks Detection
Repo for projects from Udacity's Deep Learning Foundations
Jupyter notebooks for Chainer hands-on
Deep learning experiments: This repository contains jupyter notebooks for training image classification models on MNIST, CIFAR100, language models and autoencoder using Tensorflow.
This repository contains an ipython notebook which implements a Convolutional Neural Network to do a binary image classification. I used this to classify Cats vs Dogs and you can get the dataset from here https://www.kaggle.com/c/dogs-vs-cats/data . (This model trains with thousands of input images so be patient.)
TensorFlow and Deep Learning Tutorials
Jupyter Notebooks for Visualization
Notebooks for learning about the layers of a convolutional neural network.
A CNN to identify dog breeds (P2 - DLND)
A Jupyter notebook exploring sophisticated learning rate strategies for training deep neural networks
TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
Kaggle竞赛Dog Breed Identification,狗狗品种分类
Here i present several GAN models in format of notebook implemented with tensorflow using the layers API
This is the code for "MNIST using CNN in Keras" By M.Junaid Fiaz
Machine learning and deep learning notebooks
Repository containing TensorFlow tutorial Notebooks
Cognitive Class Lab Notebooks
PyTorch implementation of Kernel-predicting convolutional networks for denoising Monte Carlo renderings (Jupyter notebook)
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