It's possible to create neural networks from raw code. But there are many code libraries you can use to speed up the process. These libraries include Microsoft CNTK, Google TensorFlow, Theano, PyTorch ...

Religious wars have been a cornerstone in tech. Whether it’s debating about the pros and cons of different operating systems, cloud providers, or deep learning frameworks — a few beers in, the facts ...

Introduction A few years ago, I was assigned the task of classifying internal inquiry logs. At the time, I was running a ...

An example of an image classification problem is to identify a photograph of an animal as a "dog" or "cat" or "monkey." The two most common approaches for image classification are to use a standard ...

Around the Hackaday secret bunker, we’ve been talking quite a bit about machine learning and neural networks. There’s been a lot of renewed interest in the topic recently because of the success of ...

While you can train simple neural networks with relatively small amounts of training data with TensorFlow, for deep neural networks with large training datasets you really need to use CUDA-capable ...

The course will also include hands-on AI, ML and deep-learning tutorials, practical datasets and coding assistance from IIT Kanpur teaching assistants ...

IIT Kanpur has opened registrations for a four-week online certification programme on Python for AI, ML and deep learning. The course brings students, scholars, faculty and professionals practical ...

Introduction to IIT Kanpur's AI Courses IIT Kanpur Short-Term AI Courses: In today's world, terms like Artificial Intelligence (AI), Machine Learning, and Data Science are ubiquitous. The future is ...