
CourseraAnother DeepLearning.AI production, this intermediate specialization is built for learners who already know TensorFlow basics and want to push further — customizing models, optimizing training, and working with architectures beyond standard Keras defaults.
Practitioners with foundational TensorFlow or Keras experience who want to move from "using pre-built models" to genuinely customizing and optimizing their own.
With over 38,000 learners, it's a proven intermediate step for anyone ready to graduate from basic TensorFlow usage to advanced, hands-on model customization across four dedicated courses.
Skills you'll gain: Tensorflow, Model Training, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Model Evaluation.
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