Each project comes with 2-5 hours of micro-videos explaining the solution.
Get access to 50+ solved projects with iPython notebooks and datasets.
Add project experience to your Linkedin/Github profiles.
In this project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset using Keras in Python.
In this tensorlfow project, our goal is to correctly identify digits from a dataset of tens of thousands of handwritten images.
The goal of this tensorflow project is to identify hand-written digits using a trained model using the MNIST dataset. The MNIST dataset contains a large number of hand written digits and corresponding label (correct digit)
In this data science project, we are going to work on video recognization data and a robust level of image recognization MNIST data.
There’s a big trend happening in the world of machine learning- data enthusiasts are flocking towards a popular machine learning framework developed by “Google Brain”-TensorFlow which facilitates easy incorporation of self-learning elements and artificial intelligence features such as computer vision, MLP, voice recognition into applications. With big names like Airbus, SnapChat, AirBnB, Dropbox and Uber adopting TensorFlow for machine learning, the demand for TensorFlow is evident. Data enthusiasts and programmers are compelled to learn TensorFlow but finding actual case studies for hands-on practice is an uphill battle. Industry experts at DeZyre have curated a bundle of TensorFlow projects that will help data scientists, data engineers, programmers and students interested in learning how to apply machine learning in practice using TensorFlow library.