Introduction to Deep Learning

Artificial Neural Networks

Convolutional Neural Networks (CNN)

Recurrent Neural Networks (RNN)

Deep Learning with TensorFlow

Deep Learning with PyTorch

Transfer Learning and Pre-trained Models

Generative Adversarial Networks (GAN)

Deep Reinforcement Learning

Natural Language Processing (NLP) with Deep Learning

Autoencoders and Variational Autoencoders (VAE)

Deep Learning for Computer Vision

Deployment and Production Considerations

Ethical and Responsible AI

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