Deep Learning Specialization
Become a Deep Learning expert. Master the fundamentals of deep learning and break into AI.
Offered By


What you will learn
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
Skills you will gain
About this Specialization
Applied Learning Project
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
There are 5 Courses in this Specialization
Neural Networks and 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.
Offered by
DeepLearning.AI
DeepLearning.AI is an education technology company that develops a global community of AI talent.
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