Pinned Repositories
AutoCopter
Automated-Quadcopter
Deep Reinforcement learning is used to teach an agent to control quadcopter
AWS-Rekognition
Computer Vision from AWS and AWS from python
Book-Deep-Learning-Applications-with-Applications-Using-Python
Chapterwise code available in the book
dl_tutorials_10weeks
Deep Learning Tutorials for 10 Weeks
fast-style-transfer
TensorFlow CNN for fast style transfer! ⚡🖥🎨🖼
First-Neural-Nets
This is an implementation of a neural network without the use of any library(Keras, tensorflow or sklearn)
five-video-classification-methods
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
IDC-Classifier
The IDC Classifier is an open source computer vision program created to classify Invasive Ductal Carcinoma (IDC) positive and negative samples. The project includes a number of sub projects using different frameworks and models such as Tensorflow & Inception V3, and Caffe & CaffeNet.
LipNet
Automated Lip reading from real-time videos in tensorflow in python
deepconvolution's Repositories
deepconvolution/LipNet
Automated Lip reading from real-time videos in tensorflow in python
deepconvolution/AWS-Rekognition
Computer Vision from AWS and AWS from python
deepconvolution/AutoCopter
deepconvolution/Automated-Quadcopter
Deep Reinforcement learning is used to teach an agent to control quadcopter
deepconvolution/Book-Deep-Learning-Applications-with-Applications-Using-Python
Chapterwise code available in the book
deepconvolution/dl_tutorials_10weeks
Deep Learning Tutorials for 10 Weeks
deepconvolution/fast-style-transfer
TensorFlow CNN for fast style transfer! ⚡🖥🎨🖼
deepconvolution/First-Neural-Nets
This is an implementation of a neural network without the use of any library(Keras, tensorflow or sklearn)
deepconvolution/five-video-classification-methods
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
deepconvolution/IDC-Classifier
The IDC Classifier is an open source computer vision program created to classify Invasive Ductal Carcinoma (IDC) positive and negative samples. The project includes a number of sub projects using different frameworks and models such as Tensorflow & Inception V3, and Caffe & CaffeNet.
deepconvolution/PatchMatch
GPU and CPU implementation of Patchmatch in Python!
deepconvolution/TSNE-Embedding-Visualisation
A Simple and easy to use way to Visualise Embeddings!
deepconvolution/sympyle
Automatic differentiation in python
deepconvolution/Twitter-Breakout-Detection-Hacking
Testing out the Python fork of the Twitter breakout detection package