
CourseraFrom the team at DeepLearning.AI, this intermediate program is built around actually building things in TensorFlow and Keras rather than just studying deep learning theory. Convolutional neural networks and computer vision get particular emphasis, alongside the practical mechanics of data preprocessing, model training, and model evaluation that separate a working model from a notebook that only runs once.
Learners who already have a base in machine learning and Python and want to move specifically into applied deep learning — image analysis, computer vision pipelines, artificial neural networks — will find this the natural next step. It's framework-specific by design, so the payoff is directly transferable skill rather than framework-agnostic theory.
Over 222,000 learners have enrolled, making it one of the more established deep learning credentials on the platform.
Offered by DeepLearning.AI. Learn to build AI apps with Tensorflow. Build, train, and optimize deep neural networks and dive deep into ... Enroll for free.
Skills you'll gain: Tensorflow, Convolutional Neural Networks, Deep Learning, Computer Vision, Machine Learning, Model Evaluation, Data Preprocessing, Model Training, Artificial Neural Networks, Image Analysis, Applied Machine Learning, Keras (Neural Network Library), Artificial Intelligence.
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