AI |
AI |
| Android
What is AI? AI is Artificial intelligence |
| Learn about AI, Artificial Intelligence, Machine Learning, Deep Learning, Data Visualization and Analysis. Web Development Technologies |
| Artificial intelligence and datascience at NIH
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| What is Artificial Intelligence?
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What is AIAI: Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving. |
| Artificial Neural Networks (ANN) |
| Machine Learning (ML) - Data Science, Algorithms, Linear Regression, Exploratory Data Analysis, Data Visualization, Training and Testing |
| Data Science uses scientific methods, processes, algorithms |
| PyTorch in machine learning and AI.
What is PyTorch? PyTorch is an open-source machine learning library for Python, widely used for its ease of use and flexibility in building and training deep learning models. It provides a dynamic computational graph, which allows for faster prototyping and more intuitive model building compared to traditional static computation graphs. PyTorch also integrates seamlessly with the most popular Python libraries, making it a popular choice among researchers and practitioners alike. Its popularity and active community make PyTorch a go-to choice for many deep learning projects, and it is used in a variety of industries, including computer vision, natural language processing, and reinforcement learning. |
| AI Models with : TensorFlow, PyTorch, Keras, OpenCV for data science and machine learning.
Market share TensorFlow 37.31%, PyTorch 20.10%, OpenCV with 22.33%, Keras with 20.27%. (2022) PyTorchPyTorch was created by Facebook (Meta) and open-sourced in 2016. This deep learning framework allows developers and data scientists to use Python as the main programming language for their AI models. PyTorch is the suitable option for prototyping for research or smaller-scale projects. PyTorch uses immediate execution (i.e., eager mode), it is easier to debug. With PyTorch, you can use Python debugging tools such as PDB, ipdb, and PyCharm debugger. PyTorch is used to train networks to complete tasks for their computer vision applications, including object detection and depth modeling. For example the company Tesla uses PyTorch for Autopilot, their self-driving technology. Disney engineers uses PyTorch. PyTorch has a low-level API that requires you to write more code and handle more details than Keras. PyTorch also has a weaker support for distributed and parallel computing, which can affect your scalability and efficiency. The NVIDIA PyTorch Container is optimized for use with NVIDIA GPUs, and contains the following software for GPU acceleration: CUDA. cuBLAS. NVIDIA cuDNN. Which big companies use PyTorch? ChatGPT Some of the top users of PyTorch include large tech companies like Facebook, OpenAI, and NVIDIA, as well as startups in a variety of industries. These organizations are using PyTorch to develop innovative products and services, from AI-powered language translation systems to computer vision systems for agriculture. |
TensorFlowTensorFlow marked share is only 4% in 2023. TensorFlow was developed by the Google Brain team for internal Google use in research and production. The initial version was released under the Apache License 2.0 in 2015. TensorFlow is the preferred choice for big projects with significant deployment requirements. TensorFlow is widely used by professionals in the industry, including data scientists, machine learning engineers, and researchers. TensorFlow offers better visualization, which allows developers to debug better and track the training process. PyTorch, however, provides only limited visualization. TensorFlow also beats PyTorch in deploying trained models to production, thanks to the TensorFlow Serving framework. Will PyTorch replace TensorFlow? While you could use PyTorch for mobile applications given the release of PyTorch Live, TensorFlow + TFLite is still the preferred methodology for now. If your goal is to learn about Deep Learning for its own sake, then which framework is best in this case depends on your background.14 dic 2021 TensorFlow is become a preferred deep learning library at Uber JAX (Just After eXecution) is an AI framework replacing TensorFlow (for internal use at Google). |
Keras |
OpenCV |
| What are the 3 C's of AI?
Any Intelligent system has three major components of intelligence, one is Comparison, two is Computation and three is Cognition. These three C's in the process of any intelligent action is a sequential process. |