Welcome to our collection of advanced deep learning videos. Whether you are a seasoned professional or just starting out, these videos will provide you with valuable insights and knowledge on the latest advancements in deep learning.
Video List
- Introduction to Deep Learning
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Generative Adversarial Networks (GANs)
- Neural Network Optimization Techniques
- Deep Learning for Natural Language Processing
Introduction to Deep Learning
Deep learning is a subset of machine learning that structures algorithms in layers to create an "artificial neural network" that can learn and make intelligent decisions on its own.
Convolutional Neural Networks (CNNs)
CNNs are a class of deep neural networks, most commonly applied to analyzing visual imagery.
Recurrent Neural Networks (RNNs)
RNNs are a type of artificial neural network designed to recognize patterns in sequences of data, such as time series or natural language.
Generative Adversarial Networks (GANs)
GANs are a class of deep neural networks that can generate new data with similar statistics to real-world data.
Neural Network Optimization Techniques
Optimizing neural networks involves finding the best parameters to minimize the error of the network.
Read about optimization techniques
Deep Learning for Natural Language Processing
Deep learning has revolutionized natural language processing, enabling machines to understand and generate human language.
Discover NLP with deep learning