📚 A practical approach to machine learning.
A Keras implementation of YOLOv3 (Tensorflow backend)
Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.
Set up deep learning environment in a single command line.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
A neural network that transforms a design mock-up into a static website.
Open Neural Network Exchange
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Keras implementations of Generative Adversarial Networks.
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
Run Keras models in the browser, with GPU support using WebGL
Keras code and weights files for popular deep learning models.
Deep Reinforcement Learning for Keras.
Deep Learning for humans
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Visualizer for neural network, deep learning and machine learning models
AI & Deep Learning with Tensorflow Training: https://www.edureka.co/ai-deep-learning-with-tensorflow ** This Edureka video on "Keras vs TensorFlow vs ...
AI & Deep Learning Training: https://www.edureka.co/ai-deep-learning-with-tensorflow ** ) This Edureka Tutorial on "Keras Tutorial" (Deep Learning Blog Series: ...
Getting started with Keras has never been easier! Not only is it built into TensorFlow, but when you combine it with Kaggle Kernels you don't have to install ...
An updated deep learning introduction using Python, TensorFlow, and Keras. Text-tutorial and notes: ...
Deep Learning has already conquered areas such as image recognition, NLP, voice recognition, and is a must-know tool for every Data Practitioner. This tutorial ...
Boris Yakubchik of Forbes describes the widely popular Keras framework. Boris covers: getting started, workflow, tools you can use, and hands on examples.
TensorFlow Training - https://www.edureka.co/ai-deep-learning-with-tensorflow ** This Edureka Keras Tutorial TensorFlow video (Blog: https://goo.gl/4zxMfU) ...
Whats the best way to get started with deep learning? Keras! It's a high level deep learning library that makes it really easy to write deep neural network models ...
We'll train an image classifier in Keras using a Tensorflow backend, then serve it to the browser using a super simple Flask backend. We can then deploy this ...
Keras has the goal to make deep learning accessible to everyone, and it's one of the fastest growing machine learning frameworks. Join Francois Chollet, the ...