Deep Learning with Keras and Tensorflow (IBM AI Engineering Professional Certificate)

Graded Quiz: Advanced Keras Functionalities :Deep Learning with Keras and Tensorflow (IBM AI Engineering Professional Certificate) Answers 2025

1. Question 1 — Keras Functional API ✅ It allows the creation of models with multiple inputs and outputs. ❌ It only supports sequential models. ❌ It simplifies code compared to Sequential API. ❌ It cannot be used to create shared layers. Explanation:The Functional API enables multi-input, multi-output, and shared-layer architectures. 2. Question 2 —… <a href="https://codeshala.io/platform/coursera/course/deep-learning-with-keras-and-tensorflow-ibm-ai-engineering-professional-certificate/assignment/graded-quiz-advanced-keras-functionalities-deep-learning-with-keras-and-tensorflow-ibm-ai-engineering-professional-certificate-answers-2025/" rel="bookmark">Graded Quiz: Advanced Keras Functionalities :Deep Learning with Keras and Tensorflow (IBM AI Engineering Professional Certificate) Answers 2025</a>

Graded Quiz: Advanced CNNs in Keras :Deep Learning with Keras and Tensorflow (IBM AI Engineering Professional Certificate) Answers 2025

1. Question 1 Architecture that uses small 3×3 filters and increases network depth: ❌ GRU ❌ RNN ❌ LSTM ✅ VGG Explanation:VGG16/VGG19 use repeat blocks of 3×3 convolutions to form deep CNNs. 2. Question 2 Purpose of MaxPooling2D((2,2))? ✅ Reduces dimensionality ❌ Flattens feature maps ❌ Final classification ❌ Extracts features Explanation:MaxPooling reduces spatial size,… <a href="https://codeshala.io/platform/coursera/course/deep-learning-with-keras-and-tensorflow-ibm-ai-engineering-professional-certificate/assignment/graded-quiz-advanced-cnns-in-keras-deep-learning-with-keras-and-tensorflow-ibm-ai-engineering-professional-certificate-answers-2025/" rel="bookmark">Graded Quiz: Advanced CNNs in Keras :Deep Learning with Keras and Tensorflow (IBM AI Engineering Professional Certificate) Answers 2025</a>

Graded Quiz: Transformers in Keras :Deep Learning with Keras and Tensorflow (IBM AI Engineering Professional Certificate) Answers 2025

1. Question 1 Primary purpose of multi-head self-attention: ✅ To process different parts of the input sequence in parallel ❌ Sequential processing ❌ Reduce training time ❌ Ensure equal output size Explanation:Multi-head attention lets the model learn different relationships in parallel. 2. Question 2 Purpose of feedforward layers in Transformers: ❌ Focus on sequence parts… <a href="https://codeshala.io/platform/coursera/course/deep-learning-with-keras-and-tensorflow-ibm-ai-engineering-professional-certificate/assignment/graded-quiz-transformers-in-keras-deep-learning-with-keras-and-tensorflow-ibm-ai-engineering-professional-certificate-answers-2025/" rel="bookmark">Graded Quiz: Transformers in Keras :Deep Learning with Keras and Tensorflow (IBM AI Engineering Professional Certificate) Answers 2025</a>

Graded Quiz: Unsupervised Learning and Generative Models in Keras :Deep Learning with Keras and Tensorflow (IBM AI Engineering Professional Certificate) Answers 2025

1. Question 1 Primary goal of an autoencoder: ❌ Generate new data from noise ❌ Classify images ❌ Detect anomalies ✅ To compress and then reconstruct data Explanation:Autoencoders learn compact representations and try to rebuild the original input. 2. Question 2 In diffusion models, the forward process: ❌ Dimensionality reduction ✅ Adding noise to data… <a href="https://codeshala.io/platform/coursera/course/deep-learning-with-keras-and-tensorflow-ibm-ai-engineering-professional-certificate/assignment/graded-quiz-unsupervised-learning-and-generative-models-in-keras-deep-learning-with-keras-and-tensorflow-ibm-ai-engineering-professional-certificate-answers-2025/" rel="bookmark">Graded Quiz: Unsupervised Learning and Generative Models in Keras :Deep Learning with Keras and Tensorflow (IBM AI Engineering Professional Certificate) Answers 2025</a>

Advanced Keras Techniques :Deep Learning with Keras and Tensorflow (IBM AI Engineering Professional Certificate) Answers 2025

1. Question 1 Primary benefit of using a custom training loop: ❌ Faster training ❌ Less validation data ❌ Auto-handles training ✅ Greater control over the training process Explanation:Custom loops give you full control over forward pass, backward pass, metrics, and loss computation. 2. Question 2 Key component of a custom training loop: ❌ Model… <a href="https://codeshala.io/platform/coursera/course/deep-learning-with-keras-and-tensorflow-ibm-ai-engineering-professional-certificate/assignment/advanced-keras-techniques-deep-learning-with-keras-and-tensorflow-ibm-ai-engineering-professional-certificate-answers-2025/" rel="bookmark">Advanced Keras Techniques :Deep Learning with Keras and Tensorflow (IBM AI Engineering Professional Certificate) Answers 2025</a>

Graded Quiz: Introduction to Reinforcement Learning with Keras :Deep Learning with Keras and Tensorflow (IBM AI Engineering Professional Certificate) Answers 2025

1. Question 1 Primary objective of Q-learning: ✅ To learn a policy that maximizes the cumulative reward over time ❌ Minimize immediate reward ❌ Ignore future rewards ❌ Clustering Explanation:Q-learning is all about maximizing long-term cumulative reward. 2. Question 2 Role of Q-value function: ❌ Terminal state probability ✅ Expected utility of taking action a… <a href="https://codeshala.io/platform/coursera/course/deep-learning-with-keras-and-tensorflow-ibm-ai-engineering-professional-certificate/assignment/graded-quiz-introduction-to-reinforcement-learning-with-keras-deep-learning-with-keras-and-tensorflow-ibm-ai-engineering-professional-certificate-answers-2025/" rel="bookmark">Graded Quiz: Introduction to Reinforcement Learning with Keras :Deep Learning with Keras and Tensorflow (IBM AI Engineering Professional Certificate) Answers 2025</a>