How deep learning works? Why is it a foundation to Gen AI? How do you handle sequence modeling?
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What you'll learn
- To provide a comprehensive understanding of the deep learning concepts and applications both in traditional AI and Gen AI
- Master the Core Mechanics of a Neural Network, including the functions of the forward pass and the backpropagation learning mechanism
- Implement and Interpret Deep Learning Models using practical tools (TensorFlow Playground) to understand parameters and the network learning process.
- Analyze and Apply Sequence Modeling Architectures, the need for and the internal workings of RNNs and LSTMs to handle long, sequential data
- Part-2 cover the attention models, transformer models and GPT