Tag: tensorflow

Machine Learning Algorithms – Second Edition

08/28/2018 Artificial Intelligence Books Convnet Data Science Deep Learning Keras Machine Learning Machine Learning Algorithms Addenda Neural networks NLP Python Scikit-Learn Spark Tensorflow Tensorflow No Comments
The second edition (fully revised, extended, and updated) of Machine Learning Algorithms has been published today and will be soon available through all channels. From the back cover: Machine learning has gained tremendous popularity for its powerful and fast predictions through large datasets. However, the true forces behind its powerful…

Mastering Machine Learning Algorithms

05/24/2018 Artificial Intelligence Convnet Deep Learning Keras Machine Learning Machine Learning Algorithms Addenda Neural networks Python Scikit-Fuzzy Scikit-Learn Tensorflow Tensorflow No Comments
Today I’ve published my latest book “Mastering Machine Learning Algorithms” (in a few days it will be available on all channels). From the back cover: Machine learning is a subset of AI that aims to make modern-day computer systems smarter and more intelligent. The real power of machine learning resides…

Hetero-Associative Memories for Non Experts: How “Stories” are memorized with Image-associations

12/31/2017 Artificial Intelligence Computational Neuroscience Convnet Deep Learning Generic Machine Learning Neural networks Philosophy of Mind Tensorflow Tensorflow 4 Comments
Think about walking along a beach. The radio of a small kiosk-bar is turned-on and a local DJ announces an 80’s song. Immediately, the image of a car comes to your mind. It’s your first car, a second-hand blue spider. While listening to the same song, you drove your girlfriend…

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Networks

08/07/2017 Convnet Deep Learning Generic Keras Neural networks NLP Python Tensorflow 64 Comments
Fork Word2Vec (https://code.google.com/archive/p/word2vec/) offers a very interesting alternative to classical NLP based on term-frequency matrices. In particular, as each word is embedded into a high-dimensional vector, it’s possible to consider a sentence like a sequence of points that determine an implicit geometry. For this reason, the idea of considering 1D…

SVD Recommendations using Tensorflow

08/02/2017 Machine Learning Python Tensorflow 6 Comments
Recommendation system based on the user-item matrix factorization have become more and more important thanks to powerful and distributable algorithms like ALS, but sometimes the number of users and/or items is not so huge and the computation can be done using directly a SVD (Singular Value Decomposition) algorithm. In this…

Lossy image autoencoders with convolution and deconvolution networks in Tensorflow

07/29/2017 Convnet Deep Learning Neural networks Python Tensorflow 6 Comments
Fork Autoencoders are a very interesting deep learning application because they allow a consistent dimensionality reduction of an entire dataset with a controllable loss level. The Jupyter notebook for this small project is available on the Github repository: https://github.com/giuseppebonaccorso/lossy_image_autoencoder. The structure of a generic autoencoder is represented in the following figure:…

Keras-based Deepdream experiment based on VGG19

07/09/2017 Convnet Deep Learning Keras Machine Learning Python Tensorflow Tensorflow Theano No Comments
Fork I’ve just published a repository (https://github.com/giuseppebonaccorso/keras_deepdream) with a Jupyter notebook containing a Deepdream (https://github.com/google/deepdream) experiment created with Keras and a pre-trained VGG19 convolutional network. The experiment (which is a work in progress) is based on some suggestions provided by the Deepdream team in this blog post but works in a slightly different…

Keras-based Neural Artistic Style Transfer

05/17/2017 Artificial Intelligence Convnet Deep Learning Keras Machine Learning Neural networks Python Tensorflow Theano No Comments
Fork I’ve just moved my Keras-based Neural Artistic Style Transfer GIST to a dedicated repository: https://github.com/giuseppebonaccorso/Neural_Artistic_Style_Transfer. Please refer always to it because the GIST is not more maintained. See also: Neural artistic style transfer experiments with Keras – Giuseppe Bonaccorso Artistic style transfer using neural networks is a technique proposed by…