Coursera – DeepLearning.AI TensorFlow Developer Professional Certificate 2024-7
Coursera – DeepLearning.AI TensorFlow Developer Professional Certificate 2024-7 Downloadly IRSpace

DeepLearning AI TensorFlow Developer Professional Certificate is a training course specializing in working with the TensorFlow framework. Today, Tensorflow is one of the most popular and popular open source frameworks available. The course set before you will teach you all the skills needed to work with a flow tensor to build and train powerful models.
What you will learn in the DeepLearning.AI TensorFlow Developer Professional Certificate:
- Best Ways to Use Tensorflow, an Open Source Machine Learning Framework for Teaching Computer Vision Applications to a Neural Network
- Manage real-world video data and discover strategies to prevent overfitting including augmentation and dropout
- Construction of natural language processing systems using Tensorflow
- Using RNNs, GRUs and LSTMs by teaching them with the help of text repositories
Skills you will learn in the DeepLearning.AI TensorFlow Developer Professional Certificate course set:
- Computer vision
- Convolutional neural network
- machine learning
- Natural Language Processing
- Flow tensor
- Inductive Transfer
- Augmentation
- Dropouts
- Tokenization
- RNNs
- Preview
- Time series
Course details:
Publisher: Coursera
Instructor: Laurence Moroney
Language: English
Level: Average
Duration: 2 months at 10 hours a week
Courses in the DeepLearning.AI TensorFlow Developer Professional Certificate Collection:
Pictures:
DeepLearning AI TensorFlow Developer Professional Certificate Introduction Video:
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 720
The version of 2024/7 compared to 2021/11 has reduced the number of 1 lesson and the duration of 5 minutes.
download link
Convolutional Neural Networks in TensorFlow
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Natural Language Processing in TensorFlow
Sequences, Time Series and Prediction
Size
1.2 GB