If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.
Este curso forma parte de Certificado profesional de DeepLearning.AI desarrollador de TensorFlow
Ofrecido Por

Acerca de este Curso
Course 1 of the TensorFlow Specialization, Python coding, and high-school level math are required. ML/DL experience is helpful but not required.
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Prueba Coursera para negociosQué aprenderás
Handle real-world image data
Plot loss and accuracy
Explore strategies to prevent overfitting, including augmentation and dropout
Learn transfer learning and how learned features can be extracted from models
Habilidades que obtendrás
- Inductive Transfer
- Augmentation
- Dropouts
- Machine Learning
- Tensorflow
Course 1 of the TensorFlow Specialization, Python coding, and high-school level math are required. ML/DL experience is helpful but not required.
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negociosOfrecido por
Programa - Qué aprenderás en este curso
Exploring a Larger Dataset
Augmentation: A technique to avoid overfitting
Transfer Learning
Multiclass Classifications
Reseñas
- 5 stars78,71 %
- 4 stars15,82 %
- 3 stars3,63 %
- 2 stars1,03 %
- 1 star0,79 %
Principales reseñas sobre CONVOLUTIONAL NEURAL NETWORKS IN TENSORFLOW
Excellent material superbly presented by world-class experts.
Sorry if this sounds sycophantic, but this series contains some of the best courses I've encountered in50+ years of learning.
An excellent course by Laurence Moroney on explaining how ConvNets are prepared using Tensorflow. A really good strategy to have the programming exercises on Google Colab to speed up the processing.
If you are looking for a course to build up your ML/DL coding skills, this is a very interesting and easily explained course. Highly recommended for any learner in the field of DL/Computer Vision.
A patient and coherent introduction. At the end, you have good working code you can use elsewhere. Remarkably, the primary lecturer, Laurence Moroney, responds fairly quickly to posts in the forum.
Acerca de Certificado profesional de DeepLearning.AI desarrollador de TensorFlow

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