Hands on Machine Learning with Scikit Learn, Keras and Tensorflow by Aurelien Geron is arguably one of the most popular books with people who are planning to step into the field of Machine Learning and Deep Learning while also being informative enough for people who have been in the field for some time. Two editions …
Backpropagation has been the gold standard for updating the weights of Neural Networks and optimizing them since, well forever. Google has recently introduced a new framework, which they call LocoProp for optimizing deep neural networks more efficiently. LocoProp re-conceives Neural Networks as a Modular Composition of Layers and decomposes Neural Networks into separate layers with …
The previous decade saw an exponential rise in the capabilities and advancement of Intelligent Systems, especially Deep Learning. This rise is commonly attributed to increased availability of data, faster computation(by the use of hardware accelerators), and advancements in the algorithms for training Deep Learning models. However, along with an increase in capabilities of the state-of-the-art …
MIT Technology Review is a bi-monthly magazine by the Massachusetts Institute of Technology(MIT) that is editorially independent of the university. The magazine recently announced the list of 35 under 35 innovators across the fields of Material Science, AI and robots, Computing, Biotech, and Climate Change. The selection process was done on the basis of inputs …
Meta AI, formerly known as Facebook AI Research or FAIR before Facebook changed its name to Meta Platforms to focus on Metaverse, has recently open-sourced its OPT-66B machine learning model. This comes after Meta AI made OPT-175B, a 175 billion parameter model available to the wider AI research community last month. Open Pre-Trained Transformers(or OPT) …
OpenAI, an artificial intelligence research laboratory based out of California, United States, and funded by Elon Musk, among other people has released DALL E-2. DALL E-2 is an improvement over DALLE which was released by OpenAI slightly over a year ago. While the achievements and capabilities of DALL E were surprising, the capabilities of DALL …
The aim of the Sorghum -100 Cultivar Identification – FGVC 9 competition is to predict the cultivar which is shown in the image( a cultivar is a plant variety that has been produced in cultivation by selective breeding). A high accuracy machine learning predictor of the species captured by the sensor data can be used to determine …
FGVC launches Computer Vision Competition for Cultivar Identification Read More »
The aim of the GeoLifeCLEF 2022 – LifeCLEF 2022 x FGVC 9 competition is to predict the localization of plant and animal species. Prediction of the species most likely to be observed at a given location is useful for many scenarios related to biodiversity management and conservation. First, this would allow to improve species identification …
Human Trafficking is a serious problem all over the world which involves involuntary and forced transportation of humans for various purposes. Solving the problem of human trafficking is as big a problem as human trafficking itself. To address this issue, Fine-Grained Visual Categorization(FGVC) has launched the Hotel-ID to Combat Human Trafficking 2022 – FGVC9 challenge …
Transformers first appeared in the context of Natural Language Processing tasks. They Natural Language transformers gained upper hand over Convolutional Neural Networks(CNNs) and Recurrent Neural Networks(RNNs). The massive success of Transformers in the field of Natural Language such as GPT-2, GPT-3, BERT, and RoBERTa lead to an ever increasing interest in Vision Transformers. Vision Transformers …