Description
2023 Course: Deep Learning Mastery with Tensorflow and Keras. The data scientist career is ranked as the number one job on Glassdoor and according to Indeed, the average salary of a data scientist in the US is over $120,000! Data science is a rewarding career that allows you to solve some of the most interesting problems in the world! This course is for ML practitioners who want to improve their skills and level up 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 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 field. It provides a detailed guide to Tensorflow and Keras as well as in-depth knowledge of deep learning algorithms. All 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 know exactly what goes on behind the scenes. This course will enable you to easily develop complex deep learning architectures and improve your model performance with various 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 (GANs)
Our exotic journey includes the following concepts:
1. The most important concepts of Tensorflow and Cross from the beginning.
2. Two methods to build the model, i.e. sequential and functional API.
3. All the building blocks of deep learning models are explained in detail to help students make decisions while training their model and improving the model’s performance.
4. Hands-on learning of deep learning algorithms from beginner level so that anyone 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 a head start over people who only have basic knowledge that is not usually covered in beginner courses.
7. Practical practice on a large number of data sets for a quick start and learning advantage when working on different data sets and problems.
8. Tasks with detailed explanations and solutions after each topic allow you to evaluate and improve as you go.
9. Advanced project to test your skills.
Master Deep Learning with us on this amazing journey! See you on the course!
What you will learn in the 2023 course: 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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Keras callback/checkpoints/early stop
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Generative Adversarial Networks (GANs)
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KERAS preprocessing layers
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Image and data generators
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Image marking classification
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The title of the generation picture
This course is suitable for people who
- ML beginners are eager to learn deep learning
- Python developer with basic knowledge of ML
- Deep learning practitioners who want to use Tensorflow and Keras
- Anyone who wants to learn about deep learning algorithms
Course details 2023: Deep Learning Mastery with Tensorflow and Keras
- Editor: Udemy
- Lecturer: 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 and Keras
Prerequisites for the 2023 course: Deep Learning Mastery with Tensorflow & Keras
- Basics of Machine Learning
- python
Course pictures
Sample video of the course
installation Guide
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Download link
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