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CourseraTensorFlow: Advanced Techniques
4.8(1,690)38k studentsINTERMEDIATEEnglish
Korshub's take
Korshub take
Another 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.
Who it's for
Practitioners with foundational TensorFlow or Keras experience who want to move from "using pre-built models" to genuinely customizing and optimizing their own.
What you'll build
- Custom model architectures beyond standard Keras workflows
- Convolutional neural networks and artificial neural network design
- Model training, optimization, and evaluation techniques
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.
About this course
Offered by DeepLearning.AI. Expand your skill set and master TensorFlow. Customize your machine learning models through four hands-on courses! Enroll for free.
Skills you'll gain: Tensorflow, Model Training, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Model Evaluation.
Access
Coursera PlusIncluded with a Coursera subscription
This course is included with a Coursera Plus subscription.
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