Keras Deep Learning Projects with TensorFlow
About this course
This Specialization provides an end-to-end, hands-on learning experience in building and deploying deep learning models using Keras and TensorFlow. Learners will work on real-world projects in chatbot development, sentiment analysis, image classification, and face recognition. Each course guides participants from data preprocessing to advanced neural network architectures, emphasizing model optimization, evaluation, and deployment. By completing the program, learners will gain job-ready AI skills applicable across NLP, computer vision, and applied machine learning domains.
67/100
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- What the provider tells you
- 31/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
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What you'll learn
- develop deep learning models using Keras and TensorFlow
- implement data preprocessing techniques
- create chatbots and perform sentiment analysis
- execute image classification and face recognition projects
- optimize and evaluate neural networks
Course objectives
- provide hands-on experience in deep learning
- help learners understand and implement advanced neural network architectures
- prepare participants for real-world applications in AI
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