explanation
The DeepLearning AI TensorFlow Developer Expert Certificate is a training course that specializes in working with the TensorFlow framework. Today, Tensorflow is one of the most widely used and popular open source frameworks. The previous course teaches all the techniques you need to use flow tensors to build and train powerful models.
Here’s what you’ll learn in the DeepLearning.AI TensorFlow Developer Expert Certificate:
- Best practices for using Tensorflow, an open source machine learning framework for training neural networks in computer vision applications.
- Discover strategies to manage real-world video data and prevent overfitting, including augmentation and dropout.
- Building a natural language processing system using Tensorflow
- Train and use RNN, GRU, and LSTM with the help of text storage
The skills you will learn in the DeepLearning.AI TensorFlow Developer Professional Certificate course set include:
- computer vision recognition
- convolution neural network
- machine learning
- natural language processing
- flow tensor
- inductive transmission
- increase
- dropout
- Tokenization
- RNNs
- preview
- time series
Course details:
Publisher: Coursera
teacher: Lawrence Moroney
Language:English
Level: average
Period: 5 hours a week, approximately 4 months
DeepLearning.AI TensorFlow Developer Expert Certificate Collection Courses:
Course 1
Introduction to TensorFlow for artificial intelligence, machine learning, and deep learning
course 2
Convolutional neural networks in TensorFlow
Course 3
Natural language processing in TensorFlow
4 courses
Sequences, time series and forecasting
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DeepLearning AI TensorFlow Developer Expert Certificate introduction video:
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