If you wish to grasp Deep Learning, you must complete Deep Learning projects. The breast cancer classification project is yet another straightforward but practical project to do. This is also an image processing project. A significant number of women worldwide die every year only due to breast c...
Dive-into-DL-PyTorch 9.6k 本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。 stanford-tensorflow-tutorials 9.6k This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research. horovod 9.6k Distributed training framework for ...
This page provides a list of deep learning layers in MATLAB®. To learn how to create networks from layers for different tasks, see the following examples. TaskLearn More Create deep learning networks for image classification or regression. Create Simple Deep Learning Neural Network for Classificat...
MIT Intro to Deep Learning 7 day bootcamp- A seven day bootcamp designed in MIT to introduce deep learning methods and applications (2019) Deep Blueberry: Deep Learning- A free five-weekend plan to self-learners to learn the basics of deep-learning architectures like CNNs, LSTMs, RNNs, V...
Deep Learning Gallery- a curated list of awesome deep learning projects Deep Drumpf Combined a dozen random Drumpf gifs with a dozen random images using Deep Neural Net based Style Transfer. Learn more Face2Face Capture facial expressions in real-time and transpose them to another human's face....
So that’s our extensive list of the top deep learning libraries and platforms. If you know of any we’ve missed out, please let us know in the comments! The contributors and commits were recorded on April 17, 2018. Related: Top 20 Python AI and Machine Learning Open Source Projects ...
Top Deep Learning Projects A list of popular github projects related to deep learning (ranked by stars). Last Update: 2019.08.15 Project NameStarsDescription tensorflow133kAn Open Source Machine Learning Framework for Everyone models56.5kModels and examples built with TensorFlow ...
My deep learning reading list 主要是顺着Bengio的PAMI review的文章找出来的。包括几本综述文章,将近100篇论文,各位山头们的Presentation。全部都可以在google上找到。 BTW:由于我对视觉尤其是检测识别比较感兴趣,所以关于DL的应用主要都是跟Vision相关的。在其他方面比如语音或者NLP,很少或者几乎没有。个人非常看好CNN...
help you master popular algorithms like CNN, RCNN, RNN, LSTM, and RBM using the latest TensorFlow 2.0 package in Python. In this deep learning training, you will be working on various real-time projects like Emotion and Gender Detection, Auto Image Captioning using CNN and LSTM, and many ...
So,Here is the list of Deep Learning Application with Explanation it will surely amaze you. 1.Self-Driving Cars Deep Learning is the force that is bringing autonomous driving to life. A million sets of data are fed to a system to build a model, to train the machines to learn, and then...