
By Rodolfo Bonnin
Key Features
Book Description
This ebook of initiatives highlights how TensorFlow can be utilized in several situations - this comprises tasks for education versions, desktop studying, deep studying, and dealing with quite a few neural networks. each one undertaking presents interesting and insightful routines that may train you the way to take advantage of TensorFlow and convey you ways layers of information might be explored by means of operating with Tensors. easily choose a venture that's according to your surroundings and get stacks of data on the way to enforce TensorFlow in production.
What you are going to learn
- Load, have interaction, dissect, strategy, and retailer advanced datasets
- Solve category and regression difficulties utilizing state-of-the-art options
- Predict the end result of an easy time sequence utilizing Linear Regression modeling
- Use a Logistic Regression scheme to foretell the longer term results of a time series
- Classify photographs utilizing deep neural community schemes
- Tag a suite of pictures and notice positive factors utilizing a deep neural community, together with a Convolutional Neural community (CNN) layer
- Resolve personality popularity difficulties utilizing the Recurrent Neural community (RNN) model
About the Author
Rodolfo Bonnin is a platforms engineer and PhD scholar at Universidad Tecnologica Nacional, Argentina. He additionally pursued parallel programming and photograph realizing postgraduate classes at Uni Stuttgart, Germany.
He has performed examine on excessive functionality computing considering the fact that 2005 and started learning and imposing convolutional neural networks in 2008,writing a CPU and GPU - helping neural community feed ahead degree. extra lately he is been operating within the box of fraud development detection with Neural Networks, and is at the moment engaged on sign type utilizing ML techniques.
Table of Contents
- Exploring and reworking Data
- Clustering
- Linear Regression
- Logistic Regression
- Simple FeedForward Neural Networks
- Convolutional Neural Networks
- Recurrent Neural Networks and LSTM
- Deep Neural Networks
- Running versions at Scale – GPU and Serving
- Library set up and extra Tips
Read Online or Download Building Machine Learning Projects with TensorFlow PDF
Similar pattern recognition programming books
This ebook constitutes the lawsuits of the twelfth overseas convention on Latent Variable research and sign Separation, LVA/ICS 2015, held in Liberec, Czech Republic, in August 2015. The sixty one revised complete papers awarded – 29 approved as oral shows and 32 approved as poster shows – have been conscientiously reviewed and chosen from a number of submissions.
The pc acceptance structures are these days the most promising instructions in synthetic intelligence. This ebook is the main finished research of this box. It encompasses a number of seventy nine conscientiously chosen articles contributed via specialists of trend attractiveness. It stories on present examine with appreciate to either method and purposes.
Artificial Intelligence in Label-free Microscopy: Biological Cell Classification by Time Stretch
This publication introduces time-stretch quantitative part imaging (TS-QPI), a high-throughput label-free imaging movement cytometer constructed for giant facts acquisition and research in phenotypic screening. TS-QPI is ready to trap quantitative optical part and depth photos at the same time, permitting high-content cellphone research, melanoma diagnostics, customized genomics, and drug improvement.
This paintings provides a evaluate of alternative indexing recommendations designed to reinforce the rate and potency of searches over huge biometric databases. The assurance comprises a longer Delaunay triangulation-based process for fingerprint biometrics, concerning a category according to the kind of trivia on the vertices of every triangle.
- Large-Scale Visual Geo-Localization (Advances in Computer Vision and Pattern Recognition)
- Visual Analysis of Humans: Looking at People
- Principles of Computer Graphics: Theory and Practice Using OpenGL and Maya®
- Blind Image Deconvolution: Methods and Convergence
- Markov Random Field Modeling in Image Analysis (Advances in Computer Vision and Pattern Recognition)
Additional resources for Building Machine Learning Projects with TensorFlow
Sample text