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所在平台: Udemy |
课程主页: https://www.udemy.com/course/deep-learning-mastery-with-tensorflow-keras/
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课程名称：[NEW] 2025：使用Tensorflow2.x和Keras的深度学习精通 课程概述：数据科学家被评为Glassdoor上的最佳工作岗位，平均年薪超过12万美元（根据Indeed的数据）。数据科学是一项令人满意的职业，让你能够解决一些全球最有趣的问题。本课程旨在帮助机器学习从业者提升技能，并在深度学习领域更进一步。课程提供了所需的基础知识，让学生无需再回头查阅其他资料，是进入深度学习领域的终极目标。 本课程详细介绍了Tensorflow和Keras的使用，并深入讲解了各种深度学习算法。所有算法都进行了详细覆盖，让学习者能够充分理解相关概念。学生需要清楚地理解在幕后发生了什么，从而将一个好的模型转变为一个优秀的模型。本课程将使你能够轻松开发复杂的深度学习架构，并通过多种技巧和窍门来提升模型性能。 课程涵盖的深度学习算法包括： 1. 前馈网络（FFN） 2. 卷积神经网络（CNN） 3. 递归神经网络（RNN） 4. 长短期记忆网络（LSTM） 5. 门控循环单元（GRU） 6. 自编码器 7. 迁移学习 8. 生成对抗网络（GAN） 课程内容将包括： 1. 从基础开始的Tensorflow和Keras最重要概念。 2. 两种模型构建方式，即顺序（Sequential）和功能（Functional）API。 3. 深度学习模型所有构建模块的详细解释，以便学生在训练模型及提升模型性能时做出决策。 4. 从初学者水平开始的深度学习算法实际操作，让所有人都能轻松构建简单到复杂的模型架构。 5. 建模生命周期和问题解决过程中需要的所有概念。 6. 使用Keras预处理层和生成器进行数据增强和生成，结合现实生活中的技巧，帮助你超越仅具入门知识的竞争者。 7. 多个数据集的实践操作，帮助你快速入门并在不同数据集和问题上获得学习优势。 8. 每个主题后的作业及详细解答，使学生能够及时评估和提升自己。 9. 高级项目，以测试你的技能。 加入我们，获取深度学习的专业知识，一同探索这个精彩的学习之旅！期待在课程中见到你！
Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!This course is designed for ML practitioners who want to enhance their skills and move up the ladder with Deep Learning!This course is made to give you all the required knowledge at the beginning of your journey so that you don't have to go back and look at the topics again at any other place. This course is the ultimate destination with all the knowledge, tips, and tricks you would require to work in the Deep Learning space.It gives a detailed guide on Tensorflow and Keras along with in-depth knowledge of Deep Learning algorithms. All the algorithms are covered in detail so that the learner gains a good understanding of the concepts. One needs to have a clear understanding of what goes behind the scenes to convert a good model to a great model. This course will enable you to develop complex deep-learning architectures with ease and improve your model performance with several tips and tricks.Deep Learning Algorithms Covered:1. Feed Forward Networks (FFN)2. Convolutional Neural Networks (CNN)3. Recurring Neural Networks (RNN)4. Long Short-Term Memory Networks (LSTMs)5. Gated Recurrent Unit (GRU)6. Autoencoders7. Transfer Learning8. Generative Adversarial Networks (GANs)Our exotic journey will include the concepts of:1. The most important concepts of Tensorflow and Keras from very basic.2. The two ways of model building i.e. Sequential and Functional API.3. All the building blocks of Deep Learning models are explained in detail to enable students to make decisions while training their model and improving model performance.4. Hands-on learning of Deep Learning algorithms from the beginner level so that everyone can build simple to complex model architectures with clear problem-solving vision and approach with ease.5. All concepts that you would need for model building lifecycle and problem-solving approach.6. Data augmentation and generation using Keras preprocessing layers and generators with all the real-life tips and tricks to give you an edge over someone who has just the introductory knowledge which is usually not provided in a beginner course.7. Hands-on practice on a large number of Datasets to give you a quick start and learning advantage of working on different datasets and problems.8. Assignments with detailed explanations and solutions after all topics allow you to evaluate and improve yourself on the go.9. Advance level project so that you can test your skills.Grab expertise in Deep Learning in this amazing journey with us! We'll see you inside the course!
