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...
Scraping Images with Python

Scraping Images with Python

Process of building machine learning, deep learning or AI applications has several steps. One of them is analysis of the data and finding which parts of it are usable and which are not. We also need to pick machine learning algorithms or neural network architectures...
Introduction to Chatbots and Their Business Value

Introduction to Chatbots and Their Business Value

In today’s world, the majority of businesses have some sort of an e-shop or are e-commerce oriented (meaning: good portion of business can be done online). However, what if your Customer has an issue, and she/he needs to contact the Support, and it is outside of your...
Using MongoDB in Python

Using MongoDB in Python

In our Definite Guide to MongoDB, we covered a lot of ground. There you can get more information about NoSQL databases, what they are, how they can be used, and which are the benefits of using one. Apart from that, you can find more information about different types...
Business Value of Artificial Intelligence

Business Value of Artificial Intelligence

As you may already know, the amount of data that we create, and store, as human beings has been growing immensely in the last few years. We start having more and more devices that can create, send, store and save data – we can just look at our mobile phones, and how...
5 Awesome New Features – Python 3.8

5 Awesome New Features – Python 3.8

It has been interesting couple of moths in Python community. Beta version of Python 3.8 was around since summer and everyone was waiting when the official version is going to be released. At various PyCon conferences people shared their excitement about new changes....
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!