About Kevin Vu

Kevin Vu manages Exxact Corp blog and works with many of its talented authors who write about different aspects of Deep Learning.

Kevin Vu Posts (28)

• The Most Important Fundamentals of PyTorch you Should Know - 18 Jun 2020
  
  PyTorch is a constantly developing deep learning framework with many exciting additions and features. We review its basic elements and show an example of building a simple Deep Neural Network (DNN) step-by-step.
• Deepmind’s Gaming Streak: The Rise of AI Dominance - 27 May 2020
  
  There is still a long way to go before machine agents match overall human gaming prowess, but Deepmind’s gaming research focus has shown a clear progression of substantial progress.
• What You Need to Know About Deep Reinforcement Learning - 12 May 2020
  
  How does deep learning solve the challenges of scale and complexity in reinforcement learning? Learn how combining these approaches will make more progress toward the notion of Artificial General Intelligence.
• Which Face is Real? Applying StyleGAN to Create Fake People - 01 May 2020
  
  This post explains using a pre-trained GAN to generate human faces, and discusses the most common generative pitfalls associated with doing so.
• The Benefits & Examples of Using Apache Spark with PySpark - 21 Apr 2020
  
  Apache Spark runs fast, offers robust, distributed, fault-tolerant data objects, and integrates beautifully with the world of machine learning and graph analytics. Learn more here.
• How Deep Learning is Accelerating Drug Discovery in Pharmaceuticals - 13 Apr 2020
  
  The goal of this essay is to discuss meaningful machine learning progress in the real-world application of drug discovery. There’s even a solid chance of the deep learning approach to drug discovery changing lives for the better doing meaningful good in the world.
• 3 Reasons to Use Random Forest® Over a Neural Network: Comparing Machine Learning versus Deep Learning - 08 Apr 2020
  
  Both the random forest algorithm and Neural Networks are different techniques that learn differently but can be used in similar domains. Why would you use one over the other?
• 2 Things You Need to Know about Reinforcement Learning – Computational Efficiency and Sample Efficiency - 07 Apr 2020
  
  Experimenting with different strategies for a reinforcement learning model is crucial to discovering the best approach for your application. However, where you land can have significant impact on your system's energy consumption that could cause you to think again about the efficiency of your computations.
• The 4 Best Jupyter Notebook Environments for Deep Learning - 19 Mar 2020
  
  Many cloud providers, and other third-party services, see the value of a Jupyter notebook environment which is why many companies now offer cloud hosted notebooks that are hosted on the cloud. Let's have a look at 3 such environments.
• Enabling the Deep Learning Revolution - 05 Dec 2019
  
  Deep learning models are revolutionizing the business and technology world with jaw-dropping performances in one application area after another. Read this post on some of the numerous composite technologies which allow deep learning its complex nonlinearity.