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Deep Learning Specialization

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Become an adept in the field of machine learning. Break into the field of artificial intelligence by mastering the fundamentals of deep learning. Recently upgraded with state-of-the-art methodologies!

Key AI Functions:Recurrent Neural Network,Tensorflow,Convolutional Neural Network,Artificial Neural Network,Transformers

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Description for Deep Learning Specialization

Features of Course

Develop and train deep neural networks, identify critical architecture parameters, and integrate vectorized neural networks and deep learning into applications.

Train test sets, analyze variance for DL applications, employ standard techniques and optimization algorithms, and construct neural networks in TensorFlow.

Generate art using neural style transfer, apply algorithms to image and video data, and construct a CNN for detection and recognition tasks.

Utilize HuggingFace tokenizers and transformer models to execute NER and question answering, work with NLP and Word Embeddings, and construct and train RNNs.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On Coursera provided by DeepLearning.AI

Duration: 3 months at 10 hours a week

Schedule: Flexible

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