Deep Learning Pertanyaan dan Jawaban Wawancara
Question: Explain the concept of weight initialization in neural networks and why it is important.Answer: Weight initialization is the process of setting initial values for the weights of a neural network. Proper weight initialization is crucial for preventing issues like vanishing or exploding gradients during training. Common methods include random initialization and Xavier/Glorot initialization. |
Simpan untuk Revisi
Bookmark item ini, tandai sebagai sulit, atau masukkan ke dalam set revisi.
Masuk untuk menyimpan bookmark, pertanyaan sulit, dan set revisi.
Apakah ini membantu? Ya Tidak
Most helpful rated by users:
- Explain the purpose of an activation function in a neural network.
- What is transfer learning, and how is it used in deep learning?
- What is a convolutional neural network (CNN), and how is it different from a fully connected neural network?