Spezialisierung Deep Learning
Become a Deep Learning expert. Master the fundamentals of deep learning and break into AI.
von


Was Sie lernen werden
Build & train deep neural networks, identify key architecture parameters, & implement efficient neural networks & deep learning to your applications
Train test sets & analyze variance for DL applications, use standard techniques & optimization algorithms, & build neural networks in TensorFlow
Build a CNN & apply it to detection & recognition tasks, use neural style transfer to generate art, & apply algorithms to image, video, & 2D/3D data
Build & train RNNs, work with NLP & Word Embeddings, & use HuggingFace tokenizers & transformer models to perform tasks like NER & Question Answering
Kompetenzen, die Sie erwerben
Über dieses Spezialisierung
Praktisches Lernprojekt
By the end of the program, you'll be able to
• Build and train deep neural networks, implement vectorized neural networks, identify key parameters in architecture, and apply deep learning to your applications
• Use the best practices to train and develop test sets and analyze bias/variance for building DL applications, use standard neural network techniques, apply optimization algorithms, and implement a neural network in TensorFlow
• Diagnose and use strategies for reducing errors in ML systems, understand complex ML settings, and apply end-to-end learning, transfer learning, and multi-task learning
• Build a CNN, apply it to visual detection and recognition tasks, use neural style transfer to generate art, and apply these algorithms to image, video, and other 2D/3D data
• Build and train RNNs, GRUs, and LSTMs, apply RNNs to character-level language modeling, work with NLP and Word Embeddings, and use HuggingFace tokenizers and transformers to perform NER and Question Answering
- Intermediate Python skills: basic programming, understanding of for loops, if/else statements, data structures
- A basic grasp of linear algebra & ML
- Intermediate Python skills: basic programming, understanding of for loops, if/else statements, data structures
- A basic grasp of linear algebra & ML
Es gibt 5 Kurse in dieser Spezialisierung
Neuronale Netzwerke und Deep Learning
In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning.
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
In the second course of the Deep Learning Specialization, you will open the deep learning black box to understand the processes that drive performance and generate good results systematically.
Structuring Machine Learning Projects
In the third course of the Deep Learning Specialization, you will learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader.
Convolutional Neural Networks
In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved and become familiar with its exciting applications such as autonomous driving, face recognition, reading radiology images, and more.
von

deeplearning.ai
DeepLearning.AI is an education technology company that develops a global community of AI talent.
Häufig gestellte Fragen
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Erhalte ich akademische Leistungspunkte für den Abschluss der Spezialisierung?
What is the Deep Learning Specialization about?
What will I be able to do after completing the Deep Learning Specialization?
What background knowledge is necessary for the Deep Learning Specialization?
Who is the Deep Learning Specialization for?
How long does it take to complete the Deep Learning Specialization?
Who is the Deep Learning Specialization by?
Is this a standalone course or a Specialization?
Do I need to take the courses in a specific order?
Can I apply for financial aid?
Can I audit the Deep Learning Specialization?
How do I get a receipt to get this reimbursed by my employer?
I want to purchase this Specialization for my employees! How can I do that?
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