Deep Learning models with the tensorflow core. Several deep learning models are implemented here.
by Victor I. Afolabi
Deep learning is no doubt the hottest topic of the past 8 years in the field of Artificial intelligence. Various researchers and scientists have built on each others work to develop a very powerful model to achieve human level intelligence.
Most of this has been quite successful over the years. Thanks to large datasets and huge computing power (esp. Nvidia) we can now deploy some of this models in our various workspace and achieve state-of-the-art results.
Tensorflow is an open source deep-learning library developed by Google. This library is no doubt the most popular deep learning library amongst the deep learning community. Tensorflow comes with a great visualization tool known as tensorboard.
Tensorflow as lots of prebuilt machine learning models that you can just use right out of the box. It also allows you to develop your own custom model relatively easily and push it to production without any modification. “It no longer makes sense to use one separate framework for development and one for production”. This is why tensorflow as gained a lot of ground amongst the researchers, developers and engineers of Artificial Intelligence.
This repository was made in order to help beginners of machine learning and deep learning exploit the simplicity in machine learning and deep learning. This repo introduces several machine learning models and concepts:
Logistic Regression
The Perceptron
Multi Layer Perceptron
Convolutional Neural Network
Ensemble Methods
Inception/GoogLeNet
Adversarial Examples
Deep dream
Transfer learning
…and also includes various Machine Learning problems such as:
CIFAR-10
MNIST
kniefy-spoony
Inception
This notebook is well documented and was designed not to bore the reader, because you might as well go read “Learning Long Term Dependencies with Gradient Decent is Difficult” by Yousha Benjio, you get the gist… 😄
Magnus Erik Hvass Pedersen, Siraj Raval and Harrison Kingsley.
Please don’t hesitate to shoot me a mail should any issue arise while running the code, or you have questions, or you just wanna say “hi”. I’d really appreciate that :)