TensorFlow: An Introduction to the Open-Source Machine Learning Framework
TensorFlow, an open-source machine learning framework, has gained significant traction in recent years due to its fl… Read More
Question 81: Mention some common techniques used in feature engineering.
Answer:
https://www.synergisticit.com/wp-content/uploads/2023/06/Question_81_Mention_some_comm.mp3
Feature engineeri… Read More
Posted on Jun 22 PyTorch has become a popular deep learning framework in the machine learning community. Creating duplicates of items is a common requirement for developers… Read More
Posted on Jun 23 PyTorch, a popular deep learning framework, has revolutionized the field of artificial intelligence by providing a flexible and efficient platform for devel… Read More
Posted on Jun 24 Like an orchestra conductor carefully allocating resources to each musician, memory management is the hidden maestro that orchestrates the performance of so… Read More
Python is the go-to choice when developing Artificial intelligence projects. The programming language offers optimum security, performance, and scalability necessary for developing advanced… Read More
Javascript Machine Learning Libraries – JavaScript has become a powerful language for machine learning, thanks to the development of various libraries and frameworks. These libraries p… Read More
C++ Machine Learning Libraries – C++ is a popular programming language widely used in various domains, including machine learning and artificial intelligence. Although Python is common… Read More
First and foremost, vector databases enable faster processing of large datasets. These databases are specifically designed to store and retrieve data efficiently, resulting in an accelerated… Read More
12 Delft University of Technology Postdoctoral Fellowships in the Netherlands
12 Delft University of Technology Postdoctoral Fellowships in the Netherlands are Open right now for all In… Read More
According to The Information, Google has decided to postpone the launch of a completely customized chip for its Pixel smartphones until 2025, as reported by two individuals who are knowledge… Read More
Google originally planned to release a fully custom chip for its Pixel smartphones sometime in 2024. Now the company has reportedly pushed that planned release window of the chip, internally… Read More
Introduction:
Effective memory management must be essential in any programming language. The popular and dynamic language Python offers automatic memory management with the integration of… Read More
Question 1: What is PyTorch?
Answer:
https://www.synergisticit.com/wp-content/uploads/2023/07/Question_1_What_is_PyTorch__.mp3
PyTorch is an open-source machine learning library for Pytho… Read More
Question 1: What is TensorFlow?
Answer:
https://www.synergisticit.com/wp-content/uploads/2023/07/Question_1_What_is_TensorFlow.mp3
TensorFlow is an open-source machine learning framework… Read More
If you've been developing your coding skills so you can work on AI projects, you've probably come across some open source AI resources.I know I have. In fact, I think I use open source more… Read More
Question 21: How to implement a custom loss function in PyTorch?
Answer:
https://www.synergisticit.com/wp-content/uploads/2023/07/Question_21_How_to_implement_.mp3
To implement a custom lo… Read More
Question 81: How to freeze layers in a pre-trained PyTorch model
Answer:
https://www.synergisticit.com/wp-content/uploads/2023/07/Question_81_How_to_freeze_lay.mp3
To freeze layers in a pr… Read More
Question 61: What is Softmax function?
Answer:
https://www.synergisticit.com/wp-content/uploads/2023/07/Question_61_What_is_Softmax_f.mp3
The softmax function is a mathematical function oft… Read More
Question 41: How do you perform model training in PyTorch?
Answer:
https://www.synergisticit.com/wp-content/uploads/2023/07/Question_41_How_do_you_perfor.mp3
In PyTorch, you typically perfo… Read More
The surge of technologies like Machine Learning has revolutionized the way we solve complex problems. It also promotes intelligent decision making. The surge of deep learning, frameworks lik… Read More
Question 41: Mention some products built using TensorFlow?
Answer:
https://www.synergisticit.com/wp-content/uploads/2023/07/Question_41_Mention_some_prod.mp3
TensorFlow built the following… Read More
Question 21: How to optimize a TensorFlow model?
Answer:
https://www.synergisticit.com/wp-content/uploads/2023/07/Question_21_How_to_optimize_a.mp3
There are several techniques to optimize… Read More
Question 81: What does the latest version of TensorFlow have to offer?
Answer:
https://www.synergisticit.com/wp-content/uploads/2023/07/Question_81_What_does_the_lat.mp3
1.7.0 is the lates… Read More
Question 61: What is the meaning of the embedding projector in TensorFlow?
Answer:
https://www.synergisticit.com/wp-content/uploads/2023/07/Question_61_What_is_the_meani.mp3
The embedding p… Read More
To boost performance in Google’s products and for research purposes, the Google brain team launched a project in 2011 to learn more about the capabilities of very-giant-scale deep neur… Read More
Alexey KravetsFollowTowards Data Science--ListenShareIn this article we are going to first see the differences between Data Parallelism (DP) and Distributed Data Parallelism (DDP) algorithms… Read More
In the exciting world of artificial intelligence and machine learning, image classification plays a pivotal role. It allows computers to recognize and categorize objects within images, which… Read More
Thirty years ago, CPUs and other specialized processors handled virtually all computation tasks. The graphics cards of that era helped to speed up the drawing of 2D shapes in Windows and app… Read More
Former AI director at Tesla Andrej Karpathy returned to OpenAI pretty recently. He came to fame for his immense contribution working alongside Elon Musk to create “Optimus,” a gr… Read More
Here we take a deep dive into Hugging Face tokenization techniques, understanding how they work and their significance in enabling complex NLP tasks. In the realm of Natural Language Proces… Read More
Large Language Models (LLMs) are advanced artificial intelligence systems that have been trained on massive amounts of text data to understand and generate human-like language. These models… Read More
This article covers frameworks that let developers build apps quickly without compromising quality or scalability. Join us as we explore the remarkable influence of software development fram… Read More
Maxime LabonneFollowTowards Data Science--ListenShareGraph Neural Networks (GNNs) represent one of the most captivating and rapidly evolving architectures within the deep learning landscape… Read More
Stefan BerknerFollowTowards Data Science--ListenShareOnline fraud is an ever-growing issue for finance, e-commerce and other related industries. In response to this threat, organizations use… Read More
Have you ever been fascinated by the capabilities of large language models like GPT-4 but wondered how they are actually work?If you want to uncover the mysteries behind these powerful model… Read More
AI Tools, Artificial Intelligence, Open Source
Welcome to our new blog ‘Unveiling the Potential of Open-Source AI: A Comprehensive Exploration, Popular Open-Source AI Platforms, and… Read More
WiMi Hologram Cloud Inc., a global leader in Hologram Augmented Reality (AR) Technology, has announced the development of a new deep learning method aimed at solving difficulties in the fiel… Read More
Sed ut perspiciatis unde. When a Machine Learning model is deployed into production there are often requirements to be met that are not taken into account in a prototyping phase of the model… Read More
Maxime LabonneFollowTowards Data Science--ListenShareDue to the massive size of Large Language Models (LLMs), quantization has become an essential technique to run them efficiently. By reduc… Read More
Posted on Sep 5 • Originally published at refact.ai Code completion has become increasingly popular, thanks to tools like GitHub Copilot and open… Read More
Chaim RandFollowTowards Data Science--ListenShareIn previous posts (e.g., here) we expanded on the importance of profiling and optimizing the performance of your DNN training workloads. Trai… Read More
Sed ut perspiciatis unde. In previous posts (e.g., here) we expanded on the importance of profiling and optimizing the performance of your DNN training workloads. Training deep learning mode… Read More
Posted on Sep 7 The comprehensive, open-source deep learning framework in Rust, Burn, has recently undergone significant advancements in its latest release, highlighted by t… Read More
Mini-batch Gradient Descent is a compromise between Batch Gradient Descent (BGD) and Stochastic Gradient Descent (SGD). It involves updating the model’s parameters using a small subse… Read More
By Matthew TysonContributor, InfoWorld |TensorFlow is the most popular machine learning platform and the Node version, TensorFlow.js, makes it easy to use in a JavaScript application. I… Read More
Before diving into the various types of loss functions utilized in deep learning, it’s essential to understand the fundamental question of why we even need loss functions in the first… Read More
Sébastien GilbertFollowTowards Data Science--ListenShareAh! primary school! This was the time when we learned valuable skills, such as literacy, arithmetic, and playing tic-tac-toe op… Read More
Chaim RandFollowTowards Data Science--ListenShareThis is the sixth part in our series of posts on the topic of analyzing and optimizing PyTorch models using PyTorch Profiler and TensorBoard… Read More
The sporadic rise in real-world implementations of AI and machine learning applications has created a massive revolution in the world of technology. The terms such as artificial intelligence… Read More
Posted on Sep 28 In this series, we’re looking into the implementation of a vector index built from the contents of our company Notion pages that allow us not only to… Read More
Isaac BerriosFollowTowards Data Science--ListenShareIn this post we will take an alternative look at RAFT. The head on approach in part 1 was able to break down the details of the network, b… Read More
PyTorch recently released a new update, PyTorch 2.1. This new update offers automatic dynamic shape support in compiling and distributing checkpoints for parallelly saving and loading distri… Read More
VentureBeat presents: AI Unleashed - An exclusive executive event for enterprise data leaders. Network and learn with industry peers. Learn MoreThe open source PyTorch machine learning (ML)… Read More
smita prasadFollowCode Like A Girl--ListenShareThis article introduces TensorFlow and Keras, explaining their features, recent updates, and their role in constructing neural networks for mac… Read More
Member-only storyBenjamin MarieFollowTowards Data Science--ShareState-of-the-art large language models (LLMs) are pre-trained with billions of parameters. While pre-trained LLMs can perform… Read More
Vision Transformers, also known as ViT, was introduced in a paper by the Google Brain team in late October 2020. To understand how ViT works, you should already know how Transformers work an… Read More
A list of paid, free or open source C++ (C plus plus) artificial intelligence libraries, plugins and tools including artificial neural networks libraries, neural networks, evolutionary c… Read More
JumpGrowthUnlocking the Power of AI: A Closer Look at the AI Model Training Process
The power of artificial intelligence (AI) lies in its ability to model and simulate human intelligence, en… Read More