Transfer learning (and a reflexion about this 100 days challenge)
Transfer learning is a way to reuse already trained models to increase the performance of a new model being trained. Today, we will explore this
Transfer learning is a way to reuse already trained models to increase the performance of a new model being trained. Today, we will explore this
Sometimes, it’s hard to get good predictions with a single model. In these cases, you can train different models with different architectures and submit your
For today’s challenge, we won’t many different changes from the previous ones we have already made. Let’s try one last thing with our corpus before
For today’s challenge, we will continue to navigate through our data using exploratory techniques. Textual data is so rich that it worths this kind of
For today’s challenge, we will continue to navigate through our data using exploratory techniques. During the next days, I will explore Tensorflow for at least
For today’s challenge, we will start to navigate through our data using exploratory techniques. During the next days, I will explore Tensorflow for at least
Marketing and SEO from a Natural Language Processing standpoint
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