Deep Learning Interview Prep Course

Prepare for a job interview about deep learning. This course covers 50 common interview questions related to deep learning and gives detailed explanations. ✏️ Course created by Tatev Karen Aslanyan. ✏️ Expanded course with 100 questions: https://academy.lunartech.ai/product/deep-learning-interview-preparation-course-100-q-as ❤️ Try interactive Career courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Career (Made possible by a grant from our friends at Scrimba) ⭐️ Contents ⭐️ ⌨️ 0:00:00 Introduction ⌨️ 0:08:20 Question 1: What is Deep Learning? ⌨️ 0:11:45 Question 2: How does Deep Learning differ from traditional Machine Learning? ⌨️ 0:15:25 Question 3: What is a Neural Network? ⌨️ 0:21:40 Question 4: Explain the concept of a neuron in Deep Learning ⌨️ 0:24:35 Question 5: Explain architecture of Neural Networks in simple way ⌨️ 0:31:45 Question 6: What is an activation function in a Neural Network? ⌨️ 0:35:00 Question 7: Name few popular activation functions and describe them ⌨️ 0:47:40 Question 8: What happens if you do not use any activation functions in a neural network? ⌨️ 0:48:20 Question 9: Describe how training of basic Neural Networks works ⌨️ 0:53:45 Question 10: What is Gradient Descent? ⌨️ 1:03:50 Question 11: What is the function of an optimizer in Deep Learning? ⌨️ 1:09:25 Question 12: What is backpropagation, and why is it important in Deep Learning? ⌨️ 1:17:25 Question 13: How is backpropagation different from gradient descent? ⌨️ 1:19:55 Question 14: Describe what Vanishing Gradient Problem is and it’s impact on NN ⌨️ 1:25:55 Question 15: Describe what Exploding Gradients Problem is and it’s impact on NN ⌨️ 1:33:55 Question 16: There is a neuron in the hidden layer that always results in an error. What could be the reason? ⌨️ 1:37:50 Question 17: What do you understand by a computational graph? ⌨️ 1:43:28 Question 18: What is Loss Function and what are various Loss functions used in Deep Learning? ⌨️ 1:47:15 Question 19: Wha