Some_interview_Questions_related_to_lecture_1.ipynb

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        "interview_questions = [\n",
        "    \"1. What is a neural network? Can you explain it in simple terms?\",\n",
        "    \"2. How does a perceptron learn? What happens when a perceptron updates its weights?\",\n",
        "    \"3. What are activation functions? Can you give examples of common activation functions and explain why they are important?\",\n",
        "    \"4. What is backpropagation? Why is it significant in training neural networks?\",\n",
        "    \"5. What is gradient descent? How is it used to make a neural network learn?\",\n",
        "    \"6. What is the difference between batch gradient descent, stochastic gradient descent, and mini-batch gradient descent?\",\n",
        "    \"7. Can you explain the concept of learning rate? How does it affect the training process?\",\n",
        "    \"8. Give a few challenges in training neural networks\",\n",
        "]"
      ]
    }
  ]
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