How to build your own Neural Network from scratch in Python
A beginner’s guide to understanding the inner workings of Deep Learning
作者：James Loy 来源：medium
发布时间：2019-03-29 10:13:11
Towards Robust and Verified AI: Specification Testing, Robust Training, and Formal Verification
Bugs and software have gone hand in hand since the beginning of computer programming. Over time, software developers have established a set of best practices for testing and debugging before deployment, but these practices are not suited for modern deep learning systems. Today, the prevailing practice in machine learning is to train a system on a training data set, and then test it on another set. While this reveals the average-case performance of models, it is also crucial to ensure robustness, or acceptably high performance even in the worst case. In this article, we describe three approaches for rigorously identifying and eliminating bugs in learned predictive models: adversarial testing, robust learning, and formal verification.
作者：DeepMind 来源：DeepMind
发布时间：2019-03-29 01:00:00
Downloadable: Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Data Science…
Downloadable PDF of Best AI Cheat Sheets in Super High Definition
作者：Stefan Kojouharov 来源：medium
发布时间：2019-03-22 11:02:51
Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data
The Most Complete List of Best AI Cheat Sheets
作者：Stefan Kojouharov 来源：medium
发布时间：2019-03-22 10:04:01
Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data
The Most Complete List of Best AI Cheat Sheets
作者：Stefan Kojouharov 来源：medium
发布时间：2019-03-22 10:04:01
TF-Replicator: Distributed Machine Learning for Researchers
At DeepMind, the Research Platform Team builds infrastructure to empower and accelerate our AI research. We are excited to share how we developed TF-Replicator, a software library that helps researchers deploy their TensorFlow models on GPUs and Cloud TPUs with minimal effort and no previous experience with distributed systems. TF-Replicator’s programming model has now been open sourced as part of TensorFlow’s tf.distribute.Strategy.
作者：DeepMind 来源：DeepMind
发布时间：2019-03-08 01:04:00
Artificial Intelligence for Advanced Blockchain Investigations
Blockchain and Artificial Intelligence work together beautifully. While the former is good for storing and validating records of every…
作者：ORS CryptoHound 来源：medium
发布时间：2019-03-03 22:46:38
MIT Introduction to Deep Learning
MIT 6.S191: Introduction to Deep Learning is an introductory course offered formally offered at MIT and open-sourced on the course website…
作者：MIT 6.S191 Introduction to Deep Learning 来源：medium
发布时间：2019-03-01 03:01:01
MIT Introduction to Deep Learning
MIT 6.S191: Introduction to Deep Learning is an introductory course offered formally offered at MIT and open-sourced on the course website…
作者：MIT 6.S191 Introduction to Deep Learning 来源：medium
发布时间：2019-03-01 03:01:01
Building A Logistic Regression in Python, Step by Step
Logistic Regression is a Machine Learning classification algorithm that is used to predict the probability of a categorical dependent…
作者：Susan Li 来源：medium
发布时间：2019-02-27 13:26:00
Image Classification with Convolutional Neural Networks
Introduction
作者：Ksenia Sorokina 来源：medium
发布时间：2019-02-26 23:58:50
Machine learning can boost the value of wind energy
Since last year, a joint DeepMind/Google project to apply machine learning to 700 MW of wind power in the central US has so far boosted the value of wind energy by ~20%. A neural net trained on weather forecasts & historical turbine data predicts wind power output 36 hours ahead of actual generation. Based on these, our model recommends optimal hourly delivery commitments to the power grid 24 hours in advance. These wind farms—part of Google’s global fleet of renewable energy projects—collectively generate as much electricity as is needed by a medium-sized city.
作者：DeepMind 来源：DeepMind
发布时间：2019-02-26 21:32:00
3 steps to update parameters of Faster R-CNN/SSD models in TensorFlow Object Detection API
I wrote an article on configuring TensorFlow Object Detection API. Kindly, refer to that story here to configure the API. That story is a…
作者：Vatsal Sodha 来源：medium
发布时间：2019-02-24 17:25:18
Why BERT has 3 Embedding Layers and Their Implementation Details
Why does BERT have 3 embedding layers instead of 1 like most deep learning-based NLP models?
作者：___ 来源：medium
发布时间：2019-02-20 00:41:44
What is a Transformer?
An Introduction to Transformers and Sequence-to-Sequence Learning for Machine Learning
作者：Maxime Allard 来源：medium
发布时间：2019-02-19 11:13:18
