Deep Learning

LSTM vs GRU for Workload Prediction in Cloud Computing

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🔷 Introduction Accurate workload prediction is essential for proactive resource provisioning. Among deep learning models, LSTM (Long Short-Term Memory) and GRU (Gated Recurrent Unit) are widely used. 🔷 LSTM Overview ft=σ(Wf⋅[ht−1,xt]+bf)f_t = \sigma(W_f \cdot [h_{t-1}, x_t] + b_f)ft​=σ(Wf​⋅[ht−1​,xt​]+bf​) LSTM uses: 👉 Suitable for long-term dependencies 🔷 GRU Overview zt=σ(Wz⋅[ht−1,xt])z_t = \sigma(W_z \cdot [h_{t-1}, x_t])zt​=σ(Wz​⋅[ht−1​,xt​]) GRU … Read more

Prominent Applications of Deep Learning in Agriculture

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In this post on Prominent Applications of Deep Learning in Agriculture, I will discuss 10 significant application scenarios. In fact, all such applications can greatly benefit from Deep Learning Techniques. What is Deep Learning? Deep Learning is a subset of machine learning. Mainly Deep Learning comprises techniques that take inspiration from the way how the … Read more