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neural-network-architecture

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TheKidPadra / DeepLearning.AI-Deep-Learning-Specialization

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This repo contains my work & The code base for this Deep Learning Specialization offered by deeplearning.AI

deep-learning tensorflow transformers coursera assignment python-programming convolutional-neural-network artificial-neural-network backpropagation hyperparameter-tuning andrew-ng specialization recurrent-neural-network deeplearning-ai mathematical-optimization inductive-transfer neural-network-architecture
  • Updated Feb 23, 2024
  • Jupyter Notebook

fatemafaria142 / Classification-of-Potato-Disease-A-Hybrid-Deep-Learning-Framework

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This research presents a hybrid deep learning framework combining MobileNet V2 with LSTM, GRU, and Bidirectional LSTM for classifying various potato diseases. The study explores the performance of different architectures to determine the optimal configuration for accurate disease categorization.

image-processing lstm gru stochastic-gradient-descent bidirectional-lstm mobilenet-v2 neural-network-architecture potato-disease-classification hybrid-deep-learning agricultural-disease-detection
  • Updated Aug 10, 2024
  • Jupyter Notebook

alanmenchaca / deep-learning-specialization

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Lecture notes, resources and programming assignments taken from the specialized deep learning program (a sequence of courses all related to deep learning) offered by DeepLearning.AI on coursera.

deep-learning tensorflow transformers python-programming convolutional-neural-network artificial-neural-network backpropagation hyperparameter-tuning recurrent-neural-network mathematical-optimization inductive-transfer neural-network-architecture
  • Updated Aug 13, 2024
  • Jupyter Notebook

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