Explore Deep Learning - Transfer Learning, One-Shot Learning, Speech Recognition, and Neural Network Applications

Dive into advanced deep learning techniques through this comprehensive video series covering transfer learning for image classification with limited data, one-shot learning methods for novel object recognition, speech recognition using convolutional neural networks in Keras/TensorFlow, data augmentation strategies, optimization of batch size and learning rate parameters in CNNs, video frame prediction combining CNNs with LSTMs, and building and deploying emotion classification systems.

Syllabus

11. Transfer Learning for Domain-Specific Image Classification with Small Datasets
12. One-shot learning for teaching neural networks to classify objects never seen before
13. Speech Recognition with Convolutional Neural Networks in Keras/TensorFlow
14. Data Augmentation | Keras
15. Batch Size and Learning Rate in CNNs
16. Video Frame Prediction using CNNs and LSTMs (2019)
17. Build and Deploy an Emotion Classifier (2019)