Highlights: In this post we will talk about autoencoders. In particular, you will gain a deeper insight into the working mechanisms of autoencoders. They are important machine learning models for data compression, analysis and data modeling. Moreover, we will present several autoencoder architectures and show how they can be implemented in TensorFlow 2.0. So, let’s get started.  Tutorial Overview: Methodology Implementation in TensorFlow 2.0 1. Methodology Our goal in generative modeling is to find ways…
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In this post, you will discover the top 10 books available right now on Artificial Intelligence. Currently, there aren’t many books at the moment in deep learning because it’s still an area of research. There are quite a few available online in which you may purchase. 1. Artificial Intelligence: A Modern Approach (3rd Edition) Artificial Intelligence: A Modern Approach, 3e offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one…
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In this post, you will discover the top 10 books available right now on deep learning. Currently, there aren’t many books at the moment in deep learning because it’s still an area of research. There are quite a few available online in which you may purchase. 1. Deep Learning with Python The book Deep Learning with Python written by Keras creator and Google AI researcher François Chollet introduces the field of Deep Learning using python…
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