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Are you struggling to work out the difference between deep learning and machine learning? Packt Hub provides you with the latest Artificial Intelligence news and updates. Whether you’re looking for tutorials and news for Tensorflow or Keras, we’ve got you covered.

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...
Humble Bundle and Packt partner on AI bundle

Greg Walters on PyTorch and real-world implementations and future potential of GANs

Introduced in 2014, GANs (Generative Adversarial Networks) was first presented by Ian Goodfellow and other researchers at the University of Montreal. It comprises of...
jakarta EE

“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...
OpenCV

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...
Switching to Python

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...
distributed network

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...
execute jobs in an iterative way with Pentaho Data Integration (PDI)

#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...

Must Read in Cloud & Networking

Is DevOps experiencing an identity crisis? [Interview]

The definition of DevOps is a hotly disputed topic among amateur practitioners and experienced engineers alike. Ironically, DevOps was actually supposed to bring some...

Must Read in Data

3 different types of generative adversarial networks (GANs) and how they...

Generative adversarial networks (GANs) have been greeted with real excitement since their creation back in 2014 by Ian Goodfellow and his research team. Yann...

Interviews