What you’ll learn
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Building chatbots using Keras. Sentiment analysis implementation with recurrent neural networks (RNN).
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Image classification techniques using Keras. Advanced face recognition applications using computer vision and deep learning.
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Practical project implementation on Google Colab. Text preprocessing techniques like Bow Model, Count Vectorizer, Stemming, and Lemmatization.
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Model training, evaluation, and prediction. Pretrained model utilization and fine-tuning. Image preprocessing, augmentation, and visualization.
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Face detection and recognition algorithms. Embedding generation and classification. Real-world implementation and testing of AI models.
Can I download Keras: Practical AI Projects & Deep Learning using Keras course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Keras: Practical AI Projects & Deep Learning using Keras course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.