Creating Custom TensorFlow Dataset

Creating Custom TensorFlow Dataset

In the previous article, we had a chance to see how one can scrape images from the web using Python. Apart from that, in one of the articles before that we could see how we can perform transfer learning with TensorFlow. In that article, we used famous Convolution...
Transfer Learning with TensorFlow 2

Transfer Learning with TensorFlow 2

It is always fun and educational to read deep learning scientific papers. Especially if it is in the area of the current project that you are working on. However, often these papers contain architectures and solutions that are hard to train. Especially if you want to...
How to Integrate TensorFlow Model in Angular Application?

How to Integrate TensorFlow Model in Angular Application?

The code that accompanies this article can be downloaded here. Couple of months back we investigated parts of TensorFlow’s ecosystem beyond standard library. To be more precise, we investigated TensorFlow.js and how you can build and train models in the browser...
Top Deep Learning Frameworks of 2019

Top Deep Learning Frameworks of 2019

This is a guest post by Gilad David Maayan. When working on your AI project, if you have to handle a large collection of rich media, such as images, video or audio, traditional machine learning algorithms are not going to be enough. In this case, you need a deep...
Deep Convolutional Q-Learning with Python and TensorFlow 2.0

Deep Convolutional Q-Learning with Python and TensorFlow 2.0

So far in our journey through the world of reinforcement learning we covered several topics. First we kicked it off with introduction to reinforcement learning and we saw how this paradigm functions. Then we learned the simplest from of it – Q-Learning. Finally,...
Understanding Cross-entropy

Understanding Cross-entropy

A couple of days ago a friend of mine, who started exploring deep learning, asked me “Hey man, can you explain this Cross-entropy thing to me?”. Now, that is a tough question, because this topic is never set with me right. My self-doubt kicked in, so in my...
Deep Learning for ProgrammersLearn how to use software development experience to become deep learning superstar!
  • Why should you care about deep learning?
  • Learn just enough math to be dangerous.
  • Get familiar with Python and TensorFlow.
  • Use familiar paradigms like Object Oriented Programming to understand main Deep Learning concepts.
  • Explore and implement 12 neural network architectures.
  • Solve various real-world problems with neural networks.
  • Learn how to generate images with neural networks.
GO!