How do we learn? Although times may change, some concepts stay the same. Unchanging, information outlasts the body. It’s stored in our brain, but can be passed down from generation to generation. Our brain is capable of synthesizing the diverse set of inputs we call our five senses, and from… Continue Reading How to Make a Neural Network – Intro to Deep Learning #2

[MUSIC]. Hi, everyone. Thanks for coming. I am Madan Musuvathi from the Research and Software engineering group, and it gives me utmost pleasure to introduce Jinliang back to Microsoft Research. He was our intern couple of years ago, working in Parce on trying to build the first version of distributed… Continue Reading Scheduling For Efficient Large-Scale Machine Learning Training

Let’s continue with the Blocky puzzle challenge. We identified a packet sent from the server to the client that contains the state of the input buttons, 32bits and the state of all the output lines. We then used the proxy to inject random input states and collect a lot of… Continue Reading Failing at Machine Learning (Blocky part 2) – Pwn Adventure 3

So we are using TensorFlow because it can scale to big data, capture many types of feature transformations, and because it has implementations of many kinds of model architectures. What else does a machine learning framework need to provide? Hyper-parameter tuning might be nice. When you do machine learning, you… Continue Reading Fully managed ML – End-to-End Machine Learning with Tensorflow from Google Cloud #4

Hello, and welcome! In this video we will provide an overview of RBMs and autoencoders. RBMs, or Restricted Boltzmann Machines, are shallow neural networks that only have two layers. They are used to find patterns in data by reconstructing the input. We say that they are “restricted” because neurons within… Continue Reading Deep Learning with Tensorflow – RBMs and Autoencoders

Hello, and welcome. In this video, we will provide an overview of the Long Short-Term Memory Model. The recurrent neural network is a great tool for modeling sequential data, but there are a few issues that need to be addressed in order to use the model at a large scale.… Continue Reading Deep Learning with Tensorflow – The Long Short Term Memory Model