This episode gives a general introduction into the field of Reinforcement Learning:
- High level denoscription of the field
- Policy gradients
- Biggest challenges (sparse rewards, reward shaping, ...)

This video forms the basis for a series on RL where I…

** AI & Deep Learning with Tensorflow Training: https://www.edureka.co/ai-deep-learning-with-tensorflow **
This Edureka video on "Keras vs TensorFlow vs PyTorch" will provide you with a crisp comparison among the top three deep learning frameworks. It provides…

Use MATLAB® for configuring, training, and evaluating a convolutional neural network for image classification.

Welcome to GANs for Good- a virtual expert panel hosted by DeepLearning.AI!

To celebrate the launch of GANs Specialization, we’ve assembled a panel of GANs experts. They will discuss some of their current projects and the importance and future of GANs and…

Emmanuelle Gouillart (CNRS)
Introduction to scikit-image

scikit-image is a general-purpose image processing module for the Python programming language. It is designed to interact efficiently with other popular scientific Python libraries, such as NumPy and…

Encoder Decoder Architecture, Using Max Pooling Indices to Upsample, Outperforms FCN, DeepLabv1, DeconvNet

Machines capable of analysing and interpreting medical scans with super-human performance are within reach. Deep learning, in particular, has emerged as a promising tool in our work on automatically detecting brain damage. But getting from the lab into clinical…

Segmentation of prostate from MRI scans. Contribute to amanbasu/3d-prostate-segmentation development by creating an account on GitHub.

09/28/20 - The performance of deep learning-based methods strongly relies on the number
of datasets used for training. Many efforts have been...

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Get the code from here:
https://gum.co/NgNV
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In this code I use many image processing and image segmentation techniques along with RCNN to detect license…

Object detection is a key technology behind applications like video surveillance and advanced driver assistance systems (ADAS). Object detection algorithms typically use machine learning, deep learning, or computer vision techniques to locate and classify…

Detect location and draw boundary of nuclei from microscopic images - KChen89/Cell-Nuclei-Detection-and-Segmentation

Most facial recognition algorithms suffer from photo attacks. This article shows you how to detect living person in real-time.

Introduction

🏆 SOTA for Diffeomorphic Medical Image Registration on OASIS+ADIBE+ADHD200+MCIC+PPMI+HABS+HarvardGSP (Dice metric)

This example shows how to automatically detect circular objects in an image and visualize the detected circles.

White balance camera-rendered sRGB images (CVPR 2019)