Reddit seems to be a haven for everything you can imagine on the internet. A lot of things that often go overlooked. However, there is a post about the so-called AI guru named Siraj Raval exploiting students with charged them $199 for machine learning course that copy-pasted other people’s GitHub code and banning students from asking for a refund. There are a few lessons that we can learn from this story so we are aware of this problem and make sure it won’t happen on us in the future especially to naive and AI practitioners that self claim as ‘guru’.
The answer is no. Making it looks like someone was doing something or saying something that never occurred is more difficult than it sounds. It caused me to produce a “deepfake” video when I heard this news spread like a wildfire throughout the nation. I attempted to convince myself that this is a fake video produced by those who want to gain political interest. But the main reason I’m eager to do it because of someone offers RM4000 ($900) for those who can produce a realistic deepfake video within 48 hours. Maybe I can purchase a lot of Pokemon booster box if I won. So I took up the challenge.
In this tutorial, we will train a simple classifier to classify image between sun bear and black dog. Open your Chrome browser and install Fatkun Batch Download Image. Google this keyword sun bear. Select Images and click Fatkun Batch Download Image icon on the right top. Select This tab and new windows will appear.
Facebook Messenger chatbots will be the next big marketing trend in 2018 and beyond. There is a bright future expected by the chatbots. More than 4.1 billion people are active on Facebook Messenger every month, so why not monetize this platform as part of your client’s social media marketing strategy? 2 billion people that business-related messages are sent through Facebook Messenger chats according to Facebook IQ. The good news is the chatbot trend is not weakening since 2017.
In this tutorial, you can learn Tensorflow in 1 day, practically. For theory, I suggest reading this book.
a. Useful TensorFlow operators
b. Tensorflow Neural Networks
c. TensorFlow Deep Learning
d. TensorFlow Convolutional Neural Networks (CNN) for image recognition
e. TensorFlow Recurrent Neural Networks (RNN) for text analysis
Based on my experience, building a startup is not an easy task. It does require perseverance for a long time. Many of us, especially millennials who are likely to take a leap of faith and jump over onto the battleship without proper planning because thinking that they could make fast money and freedom in terms of time. But the fact is that the reality is totally opposite. 90% of the startups will fail in the first year of the operation and they ended up became a part of this statistic.
2018 has started off on a high note for us and we’re delighted to announce that Soding has been nominated for a Malaysia Country Finalist for the ASEAN Rice Bowl Startup Awards and we’re pretty excited about it.