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I finished the #100DaysofMLCode challenge with a generative adversarial network code that generates digits.

In this blog, we study the generative models and why do we need these models. Also, we will summarize different generative models and discuss their differences and similarities.

In the past few days, I applied several regression methods on the home appliance dataset and compared their performance.

I started working on a dataset for appliances energy prediction.  Here I summarized the problem and the visualization procedure.

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Here, I summarize some of the famous recurrent neural network (RNN) architectures.