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A Machine Learning Driven AI Examination System for Enhanced Assessment and Evaluation
Traditional examination techniques have been completely transformed by the incorporation of machine learning ML and artificial intelligence AI into educational assessment. A machine learning driven ar...
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Comparing hybrid models for recognising objects in thermal images at nighttime
This research aims to revolutionize urban object recognition by developing cloud-based Python programs using intelligent algorithms. Unlike current models that focus on colour enhancement in nighttime...
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ERIC ED592679: Going Deeper with Deep Knowledge Tracing
Over the last couple of decades, there have been a large variety of approaches towards modeling student knowledge within intelligent tutoring systems. With the booming development of deep learning and...
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Transformers for Natural Language Processing
First published in 2021...
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Learn TensorFlow 2.0
First published in 2020...
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python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2
Python Machine Learning Third Edition Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 Sebastian Raschka Vahid Mirjalili...
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Expert Python Data Science, AI, and Automation Unleashed
Expert Python : Data Science, AI, and Automation Unleashed is your gateway to mastering Python for cutting-edge applications. Learn data science with Pandas, NumPy, and Matplotlib, explore AI with Ten...
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User-transparent Distributed TensorFlow
Deep Learning (DL) algorithms have become the {\em de facto} choice for data analysis. Several DL implementations -- primarily limited to a single compute node -- such as Caffe, TensorFlow, Theano and...
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Hands-On Machine Learning with Scikit-Learn and TensorFlow
First published in 2017...
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Fundamentals of deep learning : designing next-generation machine intelligence algorithms
xii, 283 pages : 24 cm...
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AI Based Automatic Billing System
Over the past few years, demand for quick, accurate, and transparent billing mechanisms has developed exponentially across many sectors. Conventional billing systems tend to falter under lengthy wait ...
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Should I use TensorFlow
Google's Machine Learning framework TensorFlow was open-sourced in November 2015 [1] and has since built a growing community around it. TensorFlow is supposed to be flexible for research purposes whil...
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Development of framework for detecting smoking scene in video clips
According to Global Adult Tobacco Survey 2016-17, 61.9% of people are quitting tobacco. The reason was the warnings displayed on the product covers, video clips, and advertisments. The focus of this p...
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Ultrasound Nerve Segmentation Using RESU-NET Architecture
Ultrasound Nerve Segmentation enhances the precision and safety of ultrasound-guided procedures by automating nerve identification using deep learning, specifically Convolutional Neural Networks (CNNs...
View Book →Generative AI with Python and TensorFlow 2
First published in 2021...
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Visual Perception with Tensorflow
First published in 2019...
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A Tour of TensorFlow
Deep learning is a branch of artificial intelligence employing deep neural network architectures that has significantly advanced the state-of-the-art in computer vision, speech recognition, natural la...
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Hands-On Convolutional Neural Networks with TensorFlow: Solve computer vision problems with modeling
First published in 2018...
View Book →Machine Learning Using TensorFlow Cookbook
First published in 2021...
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DyNet: The Dynamic Neural Network Toolkit
We describe DyNet, a toolkit for implementing neural network models based on dynamic declaration of network structure. In the static declaration strategy that is used in toolkits like Theano, CNTK, an...
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Python Machine Learning Projects
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TensorFlow: Powerful Predictive Analytics with TensorFlow: Predict valuable insights of your data wi
First published in 2018...
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Research on real-time data display and production management in a digitalized management factory wit
Traditional Manufacturing Execution Systems (MES) face critical limitations in addressing Industry 4.0 demands for real-time processing, flexible scheduling, and adaptive decision-making, with less th...
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Edward: A library for probabilistic modeling, inference, and criticism
Probabilistic modeling is a powerful approach for analyzing empirical information. We describe Edward, a library for probabilistic modeling. Edward's design reflects an iterative process pioneered by ...
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TensorFlow Roadmap
Mastering the TensorFlow by knowing where to start...
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Song Recommendation System Based on Facial Emotion
This research is aiming to enhance the user experience in music consumption by incorporating real-time facial emotion analysis. Emotions play a fundamental role in shaping individual preferences, and ...
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Tensorflow 2 Tutorial
A somewhat intermediate level intro to Tensorflow 2...
View Book →Deep Learning with TensorFlow and Keras
First published in 2022...
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Deep Learning With Python And Py Torch Py Torch Training
Dive deep into the world of AI with our Deep Learning with Python and PyTorch. Enroll at BITA Academy for a promising AI career...
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Benchmarking State-of-the-Art Deep Learning Software Tools
Deep learning has been shown as a successful machine learning method for a variety of tasks, and its popularity results in numerous open-source deep learning software tools. Training a deep network is...
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Machine Learning Training Plan Poster
A machine learning training plan is a roadmap that outlines the steps you need to take to learn machine learning. It should include the following: Your learning goals. What do you want to achieve by ...
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Aprende Machine Learning con Scikit-Learn, Keras y TensorFlow : Conceptos, herramientas y técnicas
First published in 2020...
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Deep Learning with TensorFlow 2 and Keras
First published in 2019...
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
First published in 2019...
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