Uber AI Labs senior research scientist, Ankit Jain on TensorFlow updates and learning machine...
No doubt, TensorFlow is one of the most popular machine learning libraries right now. However, newbie developers who want to experiment with TensorFlow often...
Data science and machine learning: what to learn in 2020
It’s hard to keep up with the pace of change in the data science and machine learning fields. And when you’re under pressure to...
Artificial intelligence, data science, and big data in 2019: what really mattered
The techlash hasn’t died down - it’s just become normalized. Barely a day passes without a new scandal emerging, from questionable surveillance to racist...
“The challenge in Deep Learning is to sustain the current pace of innovation”, explains...
If we talk about recent breakthroughs in the software community, machine learning and deep learning is a major contender - the usage, adoption, and...
Master the art of face swapping with OpenCV and Python by Sylwek Brzęczkowski, developer at...
No discussion on image processing can be complete without talking about OpenCV. Its 2500+ algorithms, extensive documentation and sample code are considered world-class for...
Getting to know PyMC3, a probabilistic programming framework for Bayesian Analysis in Python
Bayes' theorem, named after 18th-century British mathematician Thomas Bayes, is a mathematical formula for determining conditional probability. This theorem is used to revise or...
Kaggle’s Rachel Tatman on what to do when applying deep learning is overkill
Deep learning, an emerging branch of machine learning, has garnered a lot of recognition in the field of technology over the last decade. It...
Teaching GANs a few tricks: a bird is a bird is a bird, robots...
Generative adversarial networks (GANs) have been at the forefront of research on generative models in the last couple of years. GANs have been used...
#AskTensorFlow: Twitterati ask questions on TensorFlow 2.0 – TF prebuilt binaries, Tensorboard, Keras, and...
TensorFlow 2.0 was released recently with tighter integration with Keras, eager execution enabled by default, three times faster training performance, a cleaned-up API, and...
Brad Miro talks TensorFlow 2.0 features and how Google is using it internally
TensorFlow 2.0, released in October, has got developers excited about a myriad of features and its ease of use.
At the EuroPython Conference 2019, Brad...