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Deep Learning with Yacine on MSN11h
Uninformed Search AI Using BFS in Java
Learn how to implement Breadth-First Search (BFS) in Java to solve uninformed search problems in AI.
AI4Beginners on MSN1d
Redefining 5G with Deep Learning: Goutham Kumar Sheelam's Vision for Smarter, Adaptive Connectivity
As next-generation mobile networks grow more complex, high-density 5G environments are placing enormous pressure on co ...
IEEE7d
A Deep Learning Model to Predict Student Learning Outcomes in LMS Using CNN and LSTM
This study aimed to determine how certain Key Performance Indicators (KPIs) based on student interactions with Blackboard helped to forecast the learning outcomes of students. A mixed-methods study ...
IEEE5d
Developing Novel Activation Functions Based Deep Learning LSTM for Classification
The LSTM networks have high performance in solving the vanishing gradient problem that is observed in recurrent neural networks. Performance investigations were carried out utilizing three distinct ...
MacStories20h
Testing DeepSeek R1-0528 on the M3 Ultra Mac Studio and Installing Local GGUF Models with Ollama on macOS
DeepSeek released an updated version of their popular R1 reasoning model (version 0528) with – according to the company – ...
GitHub6d
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow.
To train with default parameters on the tinyshakespeare corpus, run python train.py. To access all the parameters use python train.py --help.