Deep Dive into Neural Networks
Explore advanced neural network architectures and their applications.
Learning Objectives
Understand and apply complex neural network architectures.
Topics
Convolutional Neural Networks
Study the architecture and applications of CNNs in detail.
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Recurrent Neural Networks
Explore RNNs and their role in sequence prediction tasks.
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Transformers
Understand the transformer architecture and its impact on NLP.
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Autoencoders
Learn about autoencoders and their use in unsupervised learning.
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Graph Neural Networks
Examine the structure and application of graph neural networks.
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Capsule Networks
Understand capsule networks and their advantages over CNNs.
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Spiking Neural Networks
Explore spiking neural networks and their biological inspiration.
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Neural Network Optimization
Master advanced techniques for optimizing neural network performance.
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Realtime audio conversation for interactive session.
Interactive realtime chat session.
Live whiteboard explanation and collaboration.
Real-time wide variety of examples.
Continuous assessment and feedback.
Progress monitoring and record progress journey.
Broadcast session with larger audience for free.
Attend audience queries and provide responses.