About this class
Deep neural network architecture
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Learning Material
Title
Volume
Unit 1: RNNs and Long Short-Term Memory (LSTM) Networks
5.89 MB
<p>Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) Networks</p>
Unit 2: Convolutional Neural Networks (CNNs) for Image Processing
5.89 MB
<p>Convolutional Neural Networks (CNNs) for Image Processing</p>
Unit 3: GANs and Variational Autoencoders (VAEs)
5.89 MB
<p>Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs)</p>
Unit 4: Transformer Architectures for Natural Language Processing (NLP)
5.89 MB
<p>Transformer Architectures for Natural Language Processing (NLP)</p>
Unit 5: Deep Reinforcement Learning with Neural Networks
5.89 MB
<p>Deep Reinforcement Learning with Neural Networks</p>
Unit 6: Neural Architecture Search (NAS) and AutoML
5.89 MB
<p>Neural Architecture Search (NAS) and AutoML</p>
Unit 7: Transfer Learning and Pretrained Models
5.89 MB
<p>Transfer Learning and Pretrained Models</p>
Unit 8: Quantization and Pruning Techniques for Efficient Deep Learning
5.89 MB
<p>Quantization and Pruning Techniques for Efficient Deep Learning Models</p>
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