geetarista + tensorflow   79

GitHub - easy-tensorflow/easy-tensorflow: Simple and comprehensive tutorials in TensorFlow
GitHub is where people build software. More than 27 million people use GitHub to discover, fork, and contribute to over 80 million projects.
tensorflow 
6 weeks ago by geetarista
tensorflow/tfjs: A WebGL accelerated, browser based JavaScript library for training and deploying ML models.
GitHub is where people build software. More than 27 million people use GitHub to discover, fork, and contribute to over 80 million projects.
javascript  machinelearning  tensorflow 
april 2018 by geetarista
tensorflow/probability: Probabilistic reasoning and statistical analysis in TensorFlow
GitHub is where people build software. More than 27 million people use GitHub to discover, fork, and contribute to over 80 million projects.
probability  statistics  python  tensorflow 
march 2018 by geetarista
Hvass-Labs/TensorFlow-Tutorials: TensorFlow Tutorials with YouTube Videos
GitHub is where people build software. More than 28 million people use GitHub to discover, fork, and contribute to over 79 million projects.
tensorflow  deeplearning  machinelearning 
march 2018 by geetarista
GitHub - astorfi/TensorFlow-World-Resources: Organized & Useful Resources about Deep Learning with TensorFlow
TensorFlow-World-Resources - :satellite: Organized & Useful Resources about Deep Learning with TensorFlow
python  machinelearning  tensorflow 
january 2018 by geetarista
Installing TensorFlow 1.4.0 on macOS with CUDA support – Carmine Paolino
Google dropped GPU support on macOS since TensorFlow 1.2. Here's how to get it back on the latest versions of TensorFlow, CUDA 9, cuDNN 7 and macOS High Sierra.
tensorflow  mac  cuda 
november 2017 by geetarista
GitHub - ufoym/deepo: A Docker image containing almost all popular deep learning frameworks: theano, tensorflow, sonnet, pytorch, keras, lasagne, mxnet, cntk, chainer, caffe, torch.
deepo - A Docker image containing almost all popular deep learning frameworks: theano, tensorflow, sonnet, pytorch, keras, lasagne, mxnet, cntk, chainer, caffe, torch.
machinelearning  ai  docker  deeplearning  tensorflow 
november 2017 by geetarista
Deep Dive into Object Detection with Open Images, using Tensorflow - Algorithmia
Tensorflow Tutorial and Demo: train a computer vision model with Google’s new Open Images Dataset and serve inferences via Algorithmia
tensorflow  images 
october 2017 by geetarista
TFX: A TensorFlow-based production scale machine learning platform | the morning paper
TFX: A TensorFlow-based production scale machine learning platform Baylor et al., KDD'17 What world-class looks like in online product and service development has been undergoing quite the revolution over the last few years. The series of papers we've been looking at recently can help you to understand where the bar is (it will have moved…
tensorflow 
october 2017 by geetarista
aymericdamien/TensorFlow-Examples: TensorFlow Tutorial and Examples for Beginners with Latest APIs
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners with Latest APIs
tensorflow 
august 2017 by geetarista
Higher-Level APIs in TensorFlow – Onfido Tech – Medium
TensorFlow has many libraries, like Keras, TFLearn, and Sonnet, which make it easier to train models rather than use lower-level functionality. While the Keras API is being implemented directly into…
tensorflow 
august 2017 by geetarista
An introduction to TensorFlow queuing and threading - Adventures in Machine Learning
Take your TensorFlow use to the next level - learn how to build high-performance input pipelines using TensorFlow queuing operations and threading.
tensorflow 
august 2017 by geetarista
Building an ML-Powered Game AI using TensorFlow in Go | GopherData
Users and developers of Go data processing, analytics, and visualization tools.
machinelearning  tensorflow  golang  gamedev  ai 
august 2017 by geetarista
Image Classification using Deep Neural Networks — A beginner friendly approach using TensorFlow
We will build a deep neural network that can recognize images with an accuracy of 78.4% while explaining the techniques used throughout the process. Deep learning excels in recognizing objects in…
deeplearning  tensorflow  classification  images 
july 2017 by geetarista
TensorFlow
Accelerating open machine learning research with Cloud TPUs
tensorflow 
july 2017 by geetarista
Magenta
Magenta is a project devoted to music and art generation with machine intelligence. It is part of TensorFlow, an open source machine learning library.
music  machinelearning  tensorflow  art 
july 2017 by geetarista
astorfi/TensorFlow-World: Simple and ready-to-use tutorials for TensorFlow
TensorFlow-World - :earth_americas: Simple and ready-to-use tutorials for TensorFlow
machinelearning  ai  deeplearning  tensorflow 
july 2017 by geetarista
magenta.tensorflow.org
We present Performance RNN, an LSTM-based recurrent neural network designed to model polyphonic music with expressive timing and dynamics. Here’s an example...
music  deeplearning  midi  rnn  tensorflow 
july 2017 by geetarista
Audio processing in TensorFlow – Towards Data Science – Medium
There are countless ways to perform audio processing. The usual flow for running experiments with Artificial Neural Networks in TensorFlow with audio inputs is to first preprocess the audio, then…
audio  tensorflow 
july 2017 by geetarista
Writing RNNs in Tensorflow
In this post I’ll talk through the pieces of the tensorflow API most relevant tobuilding recurrent neural networks. The tensorflow documentation is great for...
tensorflow  neuralnetwork  ai 
july 2017 by geetarista
zzw922cn/Automatic_Speech_Recognition: End-to-end automatic speech recognition from scratch in Tensorflow
Automatic_Speech_Recognition - End-to-end automatic speech recognition from scratch in Tensorflow
tensorflow  speech 
may 2017 by geetarista
Traffic Sign Recognition with TensorFlow – Medium
This is part 1 of a series about building a deep learning model to recognize traffic signs. It’s intended to be a learning experience, for myself and for anyone else who likes to follow along. There…
tensorflow  traffic 
december 2016 by geetarista
A Visual and Interactive Guide to the Basics of Neural Networks – J Alammar – Explorations in touchable pixels and intelligent androids
Motivation
I’m not a machine learning expert. I’m a software engineer by training and I’ve had little interaction with AI. I had always wanted to delve deeper into machine learning, but never really found my “in”. That’s why when Google open sourced TensorFlow in November 2015, I got super excited and knew it was time to jump in and start the learning journey. Not to sound dramatic, but to me, it actually felt kind of like Prometheus handing down fire to mankind from the Mount Olympus of...
machinelearning  neuralnetwork  datascience  programming  tensorflow 
december 2016 by geetarista
GitHub - buriburisuri/speech-to-text-wavenet: Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition using DeepMind's WaveNet and tensorflow
speech-to-text-wavenet - Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow
machinelearning  tensorflow  speech  ai 
november 2016 by geetarista
anantzoid/Conditional-PixelCNN-decoder: Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network
Conditional-PixelCNN-decoder - Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network
python  tensorflow 
november 2016 by geetarista
JIT native code generation for TensorFlow computation graphs using Python and LLVM | Terra Incognita
Update: Hacker News discussion here. The TensorFlow Computation Graph One of the most amazing components of the TensorFlow architecture is the computation
tensorflow 
august 2016 by geetarista

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