Exploring Deep Dream using Tensorflow 2.0
Author(s): Abhinav Prakash Originally published on Towards AI. Diving Into Deep Dream using Tensorflow U+007C Towards AI Deep Dream Using Tensorflow My image which generated by Deep Dream. Whenever any person hears about Deep Learning or Neural Network the things which first …
StyleGAN Generated Face Classification with ResNexts
Author(s): Luka Chkhetiani Originally published on Towards AI. Using ResNexts with StyleGAN U+007C Towards AI https://generated.photos A week or two back a team released a dataset of 100K images of generated faces, based on StyleGAN [Karras et al. and NVIDIA] (see paper). …
Review: DUNet β Deformable U-Net for Retinal Vessels Segmentation (Biomedical Image Segmentation)
Author(s): Sik-Ho Tsang Originally published on Towards AI. Technical Review of DUNet U+007C Towards AI U-Net+DCN, Outperforms U-Net & DCN In this story, DUNet, by Tianjin University, Linkoping University, and, is briefly reviewed. DUNet, Deformable U-Net: exploits the retinal vesselsβ local features …
Tf.estimator, a Tensorflow High-level API
Author(s): Abhinav Prakash Originally published on Towards AI. Now Tensorflow 2.0 has been officially released and itβs having two high-level deep learning APIs.The first one is tf.keras and another one is tf.estimator. You can see the list of TensorFlowβs Python API in …
QWeb: Solving Web Navigation Problems using DQN
Author(s): Sherwin Chen Originally published on Towards AI. Simple Introduction to Web Navigation Problems Photo by Γmile Perron on Unsplash Model reinforcement learning algorithms have achieved astonishing results in many real-world games, such as Alpha Go and OpenAI Five. In this article, …
Review: IEF β Iterative Error Feedback (Human Pose Estimation)
Author(s): Sik-Ho Tsang Originally published on Towards AI. A Review on IEF U+007C Towards AI Outperforms Tompson NIPSβ14, and Tompson CVPRβ15 Getting Better and Better From Left to Right With Iterative Error Feedback (IEF) In this story, IEF (Iterative Error Feedback), by …
Scalable Efficient Deep-RL
Author(s): Sherwin Chen Originally published on Towards AI. Deficiency of Traditional Distributed RL Photo by Dawid ZawiΕa on Unsplash Traditional scalable reinforcement learning framework, such as IMPALA and R2D2, runs multiple agents in parallel to collect transitions, each with its own copy …
Learn to Schedule Communication between Cooperative Agents
Author(s): Sherwin Chen Originally published on Towards AI. A novel architecture for communication scheduling in multi-agent environments Photo by Pavan Trikutam on Unsplash Introduction In multi-agent environments, one way to accelerate the coordination effect is to enable multiple agents to communicate with …
Free ObjDetection API from EazyMind
Author(s): amr zaki Originally published on Towards AI. Object Detection Tutorial, Part I U+007C Towards AI This tutorial series goes through the different APIs that EazyMind (an Ai-As-A-Service platform) offers. EazyMind offers multiple AI services for Free; Obj Detection is one of …
NTM: Neural Turing Machines
Author(s): Sherwin Chen Originally published on Towards AI. A detailed walk-through of Neural Turing Machines Top highlight Photo by Kvistholt Photography on Unsplash We discuss Neural Turing Machine(NTM), an architecture proposed by Graves et al. in DeepMind. NTMs are designed to solve …
Number Plate Detection β DETECTRON v2
Author(s): Luka Chkhetiani Originally published on Towards AI. Most (well, at least some) of the βSmart Camerasβ donβt use number plate detection & recognition systems, but they pay attention to specific hidden codes on the number plates, and by sticking some transparent …
Deep Learning: Past, Present, and Futureβ¦
Author(s): Shubham Saboo Originally published on Towards AI. βEverything that is possible demands to existβ β Gottfried Wilhelm Leibniz Introduction Deep Learning is a subset of Artificial Intelligence that falls under the umbrella of machine learning. It is inspired by the structure …
The Too-small World of Artificial Intelligence
Author(s): Sergii Shelpuk Originally published on Towards AI. Overcrowded and overlooked parts of the AI world I spent the last eight years as an insider of the artificial intelligence (AI) community, working for different companies and in various roles. At DeepTrait, with …
Why Batch Normalization Matters?
Author(s): Aman Sawarn Originally published on Towards AI. Understanding why batch normalization works, along with its intuitive elegance. Batch Normalization(BN) has become the-state-of-the-art right from its inception. It enables us to opt for higher learning rates and use sigmoid activation functions even …
EfficientDet: When Object Detection Meets Scalability and Efficiency
Author(s): Aniket Maurya Originally published on Towards AI. EfficientDet, a highly efficient and scalable state of the art object detection model developed by Google Research, Brain Team. It is not just a single model. It has a family of detectors which achieve …
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