What you’ll learn
- Building chatbots using Keras. Sentiment analysis implementation with recurrent neural networks (RNN).
- Image classification techniques using Keras. Advanced face recognition applications using computer vision and deep learning.
- Practical project implementation on Google Colab. Text preprocessing techniques like Bow Model, Count Vectorizer, Stemming, and Lemmatization.
- Model training, evaluation, and prediction. Pretrained model utilization and fine-tuning. Image preprocessing, augmentation, and visualization.
- Face detection and recognition algorithms. Embedding generation and classification. Real-world implementation and testing of AI models.
How to Enroll Keras: Practical AI Projects & Deep Learning using Keras course?
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