TensorFlow

A Comprehensive Guide to Performance, Scalability, and Advanced Features — TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks, and for good reason. Both frameworks offer a wide range of functionality for building and training deep learning models and have been widely adopted by the research and development community. However, as an advanced user, you may…

In Tensorflow Official Tutorial, we found two quickstart guide for Beginners Guide Experts Guide And after we walkthrough both guide, we found that the major difference between then is the beginner one used model.fit() and the other expert one used custom training loop train_step() with leveraging tf.GradientTape() In this article…

Implemented in Tensorflow 2.0 Read this blog in Supervised Machine Learning Algorithms Implemented in Tensorflow 2.0 Implemented in Tensorflow 2.0 Linear Regression : Linear regression is a statistical model that is used to predict a…python-blogs-everything.blogspot.com Linear Regression : Linear regression is a statistical model that is used to predict a continuous outcome variable based on one or more predictor variables. It assumes that there is a linear relationship between the predictor variables and the outcome variable, and tries to find…

ChatGPT’s website is all anyone is talking about right now, it is revolutionary and is — in my opinion — the next BIG disruptor of the world. However, if OpenAI just released a few videos and demos, nobody would really care (outside of the die hard deep learning enthusiasts). ChatGPTs…

Hey lovely Aimers, Happy New Year! Now that the 2022 is over, we are excited to share what has happened in 2022. We have achieved a lot together! TLDR — Highlights In 2022 we have taken Aim to completely different level. It has become from a cool open-source project into a full-blown…

What is UNet++? — Powerful architecture for medical image segmentation. This architecture is essentially a deeply-supervised encoder-decoder network where the encoder and decoder sub-networks are connected through a series of nested, dense skip pathways. The re-designed skip pathways aim at reducing the semantic gap between the feature maps of the encoder and decoder sub-networks. …

Classification of Rice Plant Image Diseases Image Classification is a process/task used for extracting information classes from an image or, in other words, it is a process of classifying an image based on its visual content. Tensorflow Image Classification is referred to as the process of computer vision. Below are the different steps that need to…

There are many machine learning frameworks available, and the best one for you will depend on your specific needs and preferences. Some popular machine learning frameworks include TensorFlow, PyTorch, scikit-learn, and Keras. Here is a detailed comparison of these frameworks: TensorFlow: Pros: TensorFlow is a powerful and flexible machine learning…