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Published Jan 28, 2019

New year’s resolution: dive into deep learning!

Delve into deep learning with Chris Benson and Daniel Whitenack as they discuss top AI learning resources, the balance between AI research and industry careers, and the power of community engagement in AI. Hear their New Year's resolutions to master NLP and neural networks, offering insights into educational strategies for both novices and experts.
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Episode Highlights

  • NLP Focus

    shares his New Year's resolution to delve deeper into Natural Language Processing (NLP) and related deep learning methods. He plans to explore resources like the upcoming O'Reilly book "NLP with PyTorch" and a Udacity course on deep learning with PyTorch. These resources will help him understand recurrent neural networks and LSTMs, and he invites listeners to join him in this learning journey through their Slack community 1.

    I realized by confessing all of these things on our podcast that probably some people will keep me accountable on these things.

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    also expresses interest in integrating NLP and machine vision into simple robotics projects with his daughter, highlighting a personal approach to learning 2.

       

    Neural Networks

    discusses his goal to merge his software engineering background with AI by exploring neural networks and frameworks like AWS, PyTorch, and TensorFlow. He emphasizes the importance of choosing resources that align with one's background, whether it be software development or academia 3.

    I don't want them to feel like almost two different parts of me, technically.

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    and Chris highlight the abundance of AI learning resources available, noting the challenge of selecting the right ones based on individual needs and goals 4.

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