Step-by-step understanding LSTM Autoencoder layers
Here we will break down an LSTM autoencoder network to understand them layer-by-layer. We will go over the input and output flow between…
作者：Chitta Ranjan 来源：medium
发布时间：2019-06-09 00:55:39
Wasserstein GAN in Swift for TensorFlow
Writing first Wasserstein GAN in Swift for TensorFlow
作者：Rahul Bhalley 来源：medium
发布时间：2019-06-08 22:19:05
Creating Bitcoin trading bots that don’t lose money
Let’s make profitable cryptocurrency trading agents using deep reinforcement learning
作者：Adam King 来源：medium
发布时间：2019-06-08 05:33:59
DeepTweets: Generating Fake Tweets with Neural Networks Trained on Individual Twitter Accounts
I fine-tuned the GPT-2 model on tweets from people’s Twitter accounts to create AI versions of them & then had the bots rewrite real…
作者：Lex Fridman 来源：medium
发布时间：2019-06-08 02:26:42
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Since AlexNet won the 2012 ImageNet competition, CNNs (short for Convolutional Neural Networks) have become the de facto algorithms for a…
作者：Aakash Nain 来源：medium
发布时间：2019-06-08 00:21:32
One LEGO at a Time Explaining the Math of how Neural Networks Learn with Implementation from…
A neural network is a clever arrangement of linear and non-linear modules. When we choose and connect them wisely, we have a powerful tool…
作者：Omar U. Florez 来源：medium
发布时间：2019-06-07 23:34:50
1000x Faster Data Augmentation
Population Based Augmentation: Quickly and efficiently learn a state-of-the-art approach to augmenting data for neural network training.
作者：Daniel Ho 来源：medium
发布时间：2019-06-07 21:12:23
PySyft and the Emergence of Private Deep Learning
Trust is a key factor in the implementation of deep learning applications. From training to optimization, the lifecycle of a deep learning…
作者：Jesus Rodriguez 来源：medium
发布时间：2019-06-06 21:24:29
The Threat of Google’s DeepMind
If you consider Google is the leader globally in artificial intelligence, DeepMind is their crown jewel.
作者：Michael K. Spencer 来源：medium
发布时间：2019-06-05 23:48:01
Advanced Topics in Deep Convolutional Neural Networks
Residual networks, saliency maps, dilated convolutions, and more.
作者：Matthew Stewart, PhD Researcher 来源：medium
发布时间：2019-06-05 22:48:06
One Simple Trick for Speeding up your Python Code with Numpy
Python is huge.
作者：George Seif 来源：medium
发布时间：2019-06-05 21:04:03
Introduction to recommender systems
Overview of some major recommendation algorithms.
作者：Baptiste Rocca 来源：medium
发布时间：2019-06-04 01:45:04
Randomly wired neural networks and state-of-the-art accuracy? Yes it works.
How do you design the best Convolutional Neural Network (CNN)?
作者：George Seif 来源：medium
发布时间：2019-06-03 20:46:15
Top 10 Best Deep Learning Frameworks in 2019
Dive deep, probe the merits and drawbacks, choose the best one.
作者：Oleksii Kharkovyna 来源：medium
发布时间：2019-06-03 20:45:48
Difference between Batch Gradient Descent and Stochastic Gradient Descent
[WARNING: TOO EASY!]
作者：Aerin Kim ? 来源：medium
发布时间：2019-06-01 05:16:24
