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Deep Learning and Reinforcement Learning Training
- Created by 5GWORLDPRO
- Last updated 12/2022
- 67,197 students enrolled
4.7 (5,685 ratings)
★★★★★ 5/5
Course available in Live Virtual classroom TrainingÂ
VIRTUAL CLASSROOM TRAINING
CLASSROOM TRAINING
This course includes:
- 7 hours on-demand video
- Downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
Learning Path
- What is deep learning?
- Applications of deep learning
- Basic terminology (neural networks, layers, activation functions, etc.)
- Neural Networks and Activation Functions
- Types of layers (input, hidden, output)
- Common activation functions (sigmoid, ReLU, etc.)
- Hands-on exercise: Implementing a simple neural network from scratch
- Loss functions and optimization algorithms (gradient descent, backpropagation)
- Regularization techniques (dropout, weight decay)
- Tips for effective training (learning rate, batch size, etc.)
- Hands-on exercise: Training a neural network using a deep learning framework (e.g.,
TensorFlow, PyTorch)
- Motivation and architecture of CNNs
- Convolutional layers, pooling layers
- Common CNN architectures (LeNet, AlexNet, etc.)
- Hands-on exercise: Implementing a CNN for image classification
- Introduction to sequential data processing
- Structure and functioning of RNNs
- Applications of RNNs (sequence generation, language modeling, etc.)
- Hands-on exercise: Building a simple RNN for text generation
- Leveraging pretrained models for transfer learning
- Fine-tuning and feature extraction
- Hands-on exercise: Using a pretrained model for a different task
- Introduction to generative models
- GAN architecture and training process
- Generating realistic images with GANs
- Hands-on exercise: Creating a basic GAN for image generation
- Overview of deep learning applications in various domains (computer vision, natural
- language processing, etc.)
o Recent advancements and future trends in deep learning
- What is RL and why is it important?
- Key concepts: agent, environment, states, actions, rewards
- RL terminology (Markov Decision Processes, policy, value functions, etc.)
- Formal definition of MDPs
- Value iteration and policy iteration algorithms
- Hands-on exercise: Solving a simple MDP problem
- Introduction to Q-Learning
- Exploration vs. exploitation trade-off
- TD learning and the Q-Learning algorithm
- Hands-on exercise: Implementing Q-Learning for a simple RL problem
- Challenges of using Q-Learning with large state spaces
- Introduction to DQNs and the role of deep neural networks
- Experience replay and target networks
- Hands-on exercise: Building a DQN for a RL task using a deep learning framework
- Introduction to policy gradients
- Policy parameterization and the policy gradient theorem
- REINFORCE algorithm
- Hands-on exercise: Implementing a basic policy gradient
Overview
Deep Learning and Reinforcement Learning Training is a 2-day course offered by 5gworldpro.com. The course aims to provide participants with a comprehensive understanding of deep learning and reinforcement learning. The program covers the basics of deep learning, including neural networks, convolutional neural networks, and recurrent neural networks. Additionally, the course delves into reinforcement learning, including its applications and algorithms such as Q-learning, SARSA, and deep reinforcement learning. The training is intended for individuals seeking to gain practical knowledge and hands-on experience in machine learning applications.
Who is the course for?
The professionals who want to expand their knowledge and skills in machine learning and artificial intelligence. This course is suitable for those who are interested in developing machine learning applications and those who wish to pursue a career in machine learning. The training is also useful for data analysts, data scientists, software engineers, and researchers who want to leverage deep learning and reinforcement learning algorithms in their work.
SOME OF OUR CUSTOMERS
What people are saying
RAN Integration Engineer- O2 Telefonica, Germany
Thank You 5G worldpro for amazing course design, as RF planning all concepts are covered in depth. Thank you Mohamed for your excellent presentation. [...]
Scoping Analyst
My recommendation for those who want to understand more about 5G … Mohamed Idrissi-5GWorldPro provides excellent training services for telecommunications engineers who want to [...]
RAN Design Engineer
This training is a great opportunity to have a solid base in this technology that is already present and future. It allows you to [...]
Radio Planning Engineer
I have completed the NR Advanced an RF Planning modules from 5GWorldPro. I found them really usefull to bridge the gap between 4G and [...]
Member Industrial Advisory Board
I attended 5G NR training that was very well researched and comprehensive. the content was organised and delivered very well. Overall it was a [...]
Engineer II, SAR Testing
I have finished both 5G NR Advanced and 5G NR RF planning training courses and I highly recommend them to anyone who wants to [...]
General Manager
It was a great training course
IS Senior Engineer
It was a very useful and informative training course about 5G Telecommunication systems, covering among others the Radio Access Interface, the core network systems, [...]
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