Deep Learning / AI / Data Science


News & Projects Breakthroughs, projects, releases etc. Troubleshooting This category is for common troubleshooting of Linux and ML library related issues. Tutorials Official tutorials from the community.
About the Deep Learning / AI / Data Science category [Deep Learning / AI / Data Science] (1)
What’s the Difference Between Machine Learning Training and Inference? [Tutorials] (1)
Building a simple Generative Adversarial Network (GAN) using TensorFlow ( 2 ) [Tutorials] (31)
A Derivation of Backpropagation in Matrix Form [Deep Learning / AI / Data Science] (1)
How to run Docker in Ubuntu 16.04 with Volta GPU support [Tutorials] (3)
Tutorial on implementing YOLO v3 from scratch in PyTorch [Tutorials] (14)
How to install Keras/TensorFlow on FAST.AI GPU machine [Deep Learning / AI / Data Science] (2)
Benchmarking cloud GPUs [Deep Learning / AI / Data Science] (4)
Gradient Jupyter Notebook and Tensorflow 1.5 + GPU not working [Deep Learning / AI / Data Science] (3)
Docker Compose, GPUs, and Tensorflow [Deep Learning / AI / Data Science] (1)
Build an AI to play Dino Run [Tutorials] (5)
Apollo – An open autonomous driving platform [News & Projects] (1)
Jupyter notebooks the easy way! (with GPU support) [Deep Learning / AI / Data Science] (1)
Getting started with scikit-learn [Tutorials] (1)
Overview of Cloud GPU providers for Deep Learning [Deep Learning / AI / Data Science] (1)
Using Anaconda to Install and Configure GPU-enabled Tensorflow [Deep Learning / AI / Data Science] (1)
How to Reshape Input Data for Long Short-Term Memory Networks in Keras [Deep Learning / AI / Data Science] (1)
Neural networks for algorithmic trading. Hyperparameters optimization [Deep Learning / AI / Data Science] (2)
Unsupervised Politics: Clustering in machine learning [Deep Learning / AI / Data Science] (1)
Research codebase for depth-based hand pose estimation using dynamics based tracking and CNNs [News & Projects] (1)
New AI Imaging Technique Reconstructs Photos with Realistic Results [News & Projects] (1)
Machine Learning in Production – ContentSquare Engineering – Medium [Deep Learning / AI / Data Science] (1)
Linear Regression with and without Calculus [Deep Learning / AI / Data Science] (1)
Intro to optimization in deep learning: Gradient Descent [Deep Learning / AI / Data Science] (7)
Ten Deserving Deep Learning Papers that were Rejected at ICLR 2017 [News & Projects] (1)
How to chose an activation function for your network [Tutorials] (4)
An Introduction to Deep Learning for Language Modeling [News & Projects] (1)
PyTorch v0.2.0 is released [News & Projects] (1)
Intro to optimization in deep learning: Momentum, RMSProp and Adam [Deep Learning / AI / Data Science] (5)
Text Generation with Recurrent Neural Networks (RNNs) [Deep Learning / AI / Data Science] (1)