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About Deep Learning-Question Bank-Module-Wise
This document contains questions from 5 modules related to deep learning. Module 1 covers introductory concepts like defining deep learning, artificial neural networks, activation functions, and frameworks like TensorFlow. Module 2 focuses on recurrent neural networks, including LSTM cells, RNN properties, and applications like generating song lyrics and predicting Bitcoin prices. Module 3 is about convolutional neural networks, including layers, architectures, and applications in computer vision. Module 4 discusses natural language processing topics like word2vec models, Doc2Vec, and sentence embeddings. Module 5 covers generative adversarial networks and variations like conditional GANs, cycleGANs, and stackGANs.
Detailed Information
| Author: | ['kingpopa8888'] |
|---|---|
| Publication Year: | 2024 |
| Pages: | 5 |
| Language: | English |
| Format: | |
| Price: | FREE |
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