Deep Learning Specialization Coursera Answers Courses Answers:Course 1: Neural Networks and Deep LearningCourse 2: Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and OptimizationCourse 3: Structuring Machine Learning ProjectsCourse 4: Convolutional Neural NetworksCourse 5: Sequence Models About the course:You’ll learn, Build and train deep neural networks, identify key architecture parameters, implement vectorized neural networks and deep learning to applicationsTrain test sets, analyze variance for DL applications, use standard techniques and optimization algorithms, and build neural networks in TensorFlowBuild a CNN and apply it to detection and recognition tasks, use neural style transfer to generate art, and apply algorithms to image and video dataBuild and train RNNs, work with NLP and Word Embeddings, and use HuggingFace tokenizers and transformer models to perform NER and Question Answering Outcomes:Advance your subject-matter expertiseLearn in-demand skills from university and industry expertsMaster a subject or tool with hands-on projectsDevelop a deep understanding of key conceptsEarn a career certificate from DeepLearning.AI Share the love Share this content Opens in a new window Opens in a new window Opens in a new window Opens in a new window Opens in a new window Opens in a new window Opens in a new window You Might Also Like meta social media marketing professional certificate answers google business intelligence professional certificate answers meta ar developer professional certificate answers Leave a Reply Cancel replyCommentEnter your name or username to comment Enter your email address to comment Enter your website URL (optional) Save my name, email, and website in this browser for the next time I comment.