Convolutional Neural Networks(Deep Learning Specialization)

The Basics of ConvNets:Convolutional Neural Networks(Deep Learning Specialization)Answers:2025

Question 1 What do you think applying this filter to a grayscale image will do?Kernel: [−1−12−121211]\begin{bmatrix}-1 & -1 & 2\\-1 & 2 & 1\\2 & 1 & 1\end{bmatrix}​−1−12​−121​211​​ ❌ Detect vertical edges. ❌ Detecting image contrast. ❌ Detect horizontal edges. ✅ Detect 45-degree edges. Explanation: The pattern of positive weights concentrated toward one corner and… <a href="https://codeshala.io/platform/coursera/course/convolutional-neural-networksdeep-learning-specialization/assignment/the-basics-of-convnetsconvolutional-neural-networksdeep-learning-specializationanswers2025/" rel="bookmark"><span class="screen-reader-text">The Basics of ConvNets:Convolutional Neural Networks(Deep Learning Specialization)Answers:2025</span></a>

Deep Convolutional Models:Convolutional Neural Networks(Deep Learning Specialization)Answers:2025

Question 1 Which of the following do you typically see in ConvNet? ❌ Multiple FC layers followed by a CONV layer. ❌ Use of multiple POOL layers followed by a CONV layer. ❌ ConvNet makes exclusive use of CONV layers. ✅ Use of FC layers after flattening the volume to generate output classes. Explanation: Typical… <a href="https://codeshala.io/platform/coursera/course/convolutional-neural-networksdeep-learning-specialization/assignment/deep-convolutional-modelsconvolutional-neural-networksdeep-learning-specializationanswers2025/" rel="bookmark"><span class="screen-reader-text">Deep Convolutional Models:Convolutional Neural Networks(Deep Learning Specialization)Answers:2025</span></a>

Detection Algorithms:Convolutional Neural Networks(Deep Learning Specialization)Answers:2025

Question 1 What should yyy be for the image below? (? = “don’t care”) Options: ❌ y=[?,?,?,?,?,?,?,?]y = [?, ?, ?, ?, ?, ?, ?, ?]y=[?,?,?,?,?,?,?,?] ✅ y=[1,?,?,?,?,?,0,0,0]y = [1, ?, ?, ?, ?, ?, 0, 0, 0]y=[1,?,?,?,?,?,0,0,0] ❌ y=[0,?,?,?,?,?,?,?]y = [0, ?, ?, ?, ?, ?, ?, ?]y=[0,?,?,?,?,?,?,?] ❌ y=[1,?,?,?,?,?,?,?,?]y = [1, ?, ?,… <a href="https://codeshala.io/platform/coursera/course/convolutional-neural-networksdeep-learning-specialization/assignment/detection-algorithmsconvolutional-neural-networksdeep-learning-specializationanswers2025/" rel="bookmark"><span class="screen-reader-text">Detection Algorithms:Convolutional Neural Networks(Deep Learning Specialization)Answers:2025</span></a>

Special Applications: Face Recognition & Neural Style Transfer:Convolutional Neural Networks(Deep Learning Specialization)Answers:2025

Question 1 Which of the following do you agree with? ❌ Face recognition requires comparing pictures against one person’s face. ✅ Face recognition requires K comparisons of a person’s face. ❌ Face verification requires K comparisons of a person’s face. Explanation:Face recognition (identifying who the person is among KKK known identities) generally requires comparing the… <a href="https://codeshala.io/platform/coursera/course/convolutional-neural-networksdeep-learning-specialization/assignment/special-applications-face-recognition-neural-style-transferconvolutional-neural-networksdeep-learning-specializationanswers2025/" rel="bookmark"><span class="screen-reader-text">Special Applications: Face Recognition & Neural Style Transfer:Convolutional Neural Networks(Deep Learning Specialization)Answers:2025</span></a>