Do Conv-nets Dream of Psychedelic Sheep?
Do Conv-nets Dream of Psychedelic Sheep? Deep dreaming at successive layers of abstraction. From top to bottom: input image, conv2-3x3_reduce, inception_4c-1×1. Made using deepdreamgenerator and public domain image from Yellowstone…
Approaching the Problem of Equivariance with Hinton’s Capsule Networks
Approaching the Problem of Equivariance with Hinton’s Capsule Networks Have a look at this: Now see this: Even if you’ve never been to the moon, you can probably recognize the…
NVIDIA Quadro RTX 6000 GPU Performance Benchmarks for TensorFlow
For this post, we conducted deep learning performance benchmarks for TensorFlow using the new NVIDIA Quadro RTX 6000 GPUs. Our Exxact Valence Workstation was fitted with 4x Quadro RTX 6000’s giving us 96…
RNN vs CNN for Deep Learning: Let’s Learn the Difference
The Origins of Deep Learning Many people are familiar with the term, Deep Learning, as it has gained widespread attention as a reliable way to tackle difficult and computationally expensive…
A Tutorial Introduction to Privacy-Centric Deep Learning in PyTorch
Secure multi-party computation and homomorphic encryption add computational overhead, but the results are well worth it! Data privacy and model parameter security are mutually protected with clever encryption schemes. The…