Description
Course 2023: Deep Learning Mastery With Tensorflow & Keras. The Data Scientist career is ranked as the number one job on Glassdoor and according to Indeed the average salary for a data scientist in the US is over $120,000! 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 increase their skills and move up the ladder with deep learning! This course is designed to give you all the knowledge you need at the start of your journey so you don’t have to go back and revisit the topics elsewhere. This course is the ultimate destination with all the knowledge, tips and tricks you need to work in the deep learning space. It provides 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 gets a good understanding of the concepts. To turn a good model into a great model, one must have a clear understanding of what goes on behind the scenes. This course will enable you to easily develop complex deep learning architectures 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. Recurrent Neural Networks (RNN)
4. Short-term memory networks (LSTM)
5. Gate Return Unit (GRU)
6. Automatic encoders
7. Transfer training
8. Generative Adversarial Networks (GAN)
Our exotic journey will include the following concepts:
1. The most important concepts of Tensorflow and Cross from the very beginning.
2. Two methods of building the model, i.e. sequential and functional API.
3. All the building blocks of deep learning models are explained in detail so that students can make decisions while training their model and improving the performance of the model.
4. Practical learning of deep learning algorithms from the beginner level so that everyone can easily build simple to complex model architectures with a clear vision and problem solving approach.
5. All the concepts you need for the model building life cycle and problem solving approach.
6. Augment and generate data using Keras preprocessing layers and generators with all the real tips and tricks to give you an edge over people with only basic knowledge that is usually not covered in beginner courses.
7. Hands-on practice on a large number of data sets for quick start and learning advantage of working on different data sets and problems.
8. Assignments with detailed explanations and solutions after all topics allow you to evaluate and improve on the go.
9. Advanced level project so that you can test your skills.
Master deep learning on this amazing journey with us! We’ll see you on the course!
What you will learn in the course 2023: Deep Learning Mastery With Tensorflow & Keras
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Convolutional Neural Network (CNN)
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Recurrent Neural Network (RNN)
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LSTM (long short term memory)
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Gated Return Unit (GRU)
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Keras callback/checkpoints/early stop
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Generative Adversarial Networks (GAN)
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KERAS preprocessing layers
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Increase data
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Image and data generators
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Word embeddings
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Image tagging classification
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The title of the generation picture
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Transfer learning
This course is suitable for people who
- ML beginners are eager to learn Deep Learning
- Python developers with basic knowledge of ML
- Deep learning practitioners looking to use Tensorflow and Keras
- Anyone who wants to learn about deep learning algorithms
2023 Course Details: Deep Learning Mastery With Tensorflow & Keras
- Publisher: Yudmi
- teacher: MG Analytics
- Training level: beginner to advanced
- Training duration: 22 hours and 25 minutes
- Number of courses: 59
Course topics 2023: Deep Learning Mastery With Tensorflow & Keras
Prerequisites for the 2023 course: Deep Learning Mastery With Tensorflow & Keras
- Machine Learning Basics
- Python
Course images
Sample video of the course
Installation guide
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download link
File(s) password: www.downloadly.ir
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