Discover one-of-a-kind AI strategies never before seen outside of academic papers! Learn how the principles of evolutionary computation overcome deep learning’s common pitfalls and deliver adaptable model upgrades without constant manual adjustment.
In Evolutionary Deep Learning you will learn how to
Solve complex design and analysis problems with evolutionary computation
Tune deep learning hyperparameters with evolutionary computation (EC), genetic algorithms, and particle swarm optimization
Use unsupervised learning with a deep learning autoencoder to regenerate sample data
Understand the basics of reinforcement learning and the Q-Learning equation
Apply Q-Learning to deep learning to produce deep reinforcement learning
Optimize the loss function and network architecture of unsupervised autoencoders
Make an evolutionary agent that can play an OpenAI Gym game
If You Need More Stuff, kindly Visit and Support Us -->> https://DevCourseWeb.com
Get More Tutorials and Support Us -->> https://CourseWikia.com
We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...
VISITOR COMMENTS (0 )
FILE LIST
Filename
Size
~Get Your Files Here !/001. Part 1. Getting started.mp4
3.4 MB
~Get Your Files Here !/002. Chapter 1. Introducing evolutionary deep learning.mp4
30.5 MB
~Get Your Files Here !/003. Chapter 1. The why and where of evolutionary deep learning.mp4
3.6 MB
~Get Your Files Here !/004. Chapter 1. The need for deep learning optimization.mp4
13.3 MB
~Get Your Files Here !/005. Chapter 1. Automating optimization with automated machine learning.mp4
19.9 MB
~Get Your Files Here !/006. Chapter 1. Applications of evolutionary deep learning.mp4
16 MB
~Get Your Files Here !/007. Chapter 1. Summary.mp4
3.2 MB
~Get Your Files Here !/008. Chapter 2. Introducing evolutionary computation.mp4
13.5 MB
~Get Your Files Here !/009. Chapter 2. Simulating life with Python.mp4
10.2 MB
~Get Your Files Here !/010. Chapter 2. Life simulation as optimization.mp4
11.9 MB
~Get Your Files Here !/011. Chapter 2. Adding evolution to the life simulation.mp4
26 MB
~Get Your Files Here !/012. Chapter 2. Genetic algorithms in Python.mp4
48.4 MB
~Get Your Files Here !/013. Chapter 2. Summary.mp4
7.4 MB
~Get Your Files Here !/014. Chapter 3. Introducing genetic algorithms with DEAP.mp4
20.1 MB
~Get Your Files Here !/015. Chapter 3. Solving the Queen’s Gambit.mp4
15.1 MB
~Get Your Files Here !/016. Chapter 3. Helping a traveling salesman.mp4
23.5 MB
~Get Your Files Here !/017. Chapter 3. Selecting genetic operators for improved evolution.mp4
27.5 MB
~Get Your Files Here !/018. Chapter 3. Painting with the EvoLisa.mp4
19.5 MB
~Get Your Files Here !/019. Chapter 3. Summary.mp4
5.5 MB
~Get Your Files Here !/020. Chapter 4. More evolutionary computation with DEAP.mp4
35.6 MB
~Get Your Files Here !/021. Chapter 4. Particle swarm optimization with DEAP.mp4
18 MB
~Get Your Files Here !/022. Chapter 4. Coevolving solutions with DEAP.mp4
22.5 MB
~Get Your Files Here !/023. Chapter 4. Evolutionary strategies with DEAP.mp4
30.3 MB
~Get Your Files Here !/024. Chapter 4. Differential evolution with DEAP.mp4
19.4 MB
~Get Your Files Here !/025. Chapter 4. Summary.mp4
3.9 MB
~Get Your Files Here !/026. Part 2. Optimizing deep learning.mp4
2.4 MB
~Get Your Files Here !/027. Chapter 5. Automating hyperparameter optimization.mp4
36.7 MB
~Get Your Files Here !/028. Chapter 5. Automating HPO with random search.mp4
22.2 MB
~Get Your Files Here !/029. Chapter 5. Grid search and HPO.mp4
21.9 MB
~Get Your Files Here !/030. Chapter 5. Evolutionary computation for HPO.mp4
21.4 MB
~Get Your Files Here !/031. Chapter 5. Genetic algorithms and evolutionary strategies for HPO.mp4
20.4 MB
~Get Your Files Here !/032. Chapter 5. Differential evolution for HPO.mp4
14 MB
~Get Your Files Here !/033. Chapter 5. Summary.mp4
4.1 MB
~Get Your Files Here !/034. Chapter 6. Neuroevolution optimization.mp4
16.7 MB
~Get Your Files Here !/035. Chapter 6. Genetic algorithms as deep learning optimizers.mp4
13.7 MB
~Get Your Files Here !/036. Chapter 6. Other evolutionary methods for neurooptimization.mp4
7.4 MB
~Get Your Files Here !/037. Chapter 6. Applying neuroevolution optimization to Keras.mp4
13.3 MB
~Get Your Files Here !/038. Chapter 6. Understanding the limits of evolutionary optimization.mp4
9.5 MB
~Get Your Files Here !/039. Chapter 6. Summary.mp4
4.1 MB
~Get Your Files Here !/040. Chapter 7. Evolutionary convolutional neural networks.mp4
28.7 MB
~Get Your Files Here !/041. Chapter 7. Encoding a network architecture in genes.mp4
14.2 MB
~Get Your Files Here !/042. Chapter 7. Creating the mating crossover operation.mp4
10.2 MB
~Get Your Files Here !/043. Chapter 7. Developing a custom mutation operator.mp4
13 MB
~Get Your Files Here !/044. Chapter 7. Evolving convolutional network architecture.mp4
17.5 MB
~Get Your Files Here !/045. Chapter 7. Summary.mp4
3.7 MB
~Get Your Files Here !/046. Part 3. Advanced applications.mp4
4.9 MB
~Get Your Files Here !/047. Chapter 8. Evolving autoencoders.mp4
30.5 MB
~Get Your Files Here !/048. Chapter 8. Evolutionary AE optimization.mp4
17.6 MB
~Get Your Files Here !/049. Chapter 8. Mating and mutating the autoencoder gene sequence.mp4
9.8 MB
~Get Your Files Here !/050. Chapter 8. Evolving an autoencoder.mp4
9.7 MB
~Get Your Files Here !/051. Chapter 8. Building variational autoencoders.mp4
29.8 MB
~Get Your Files Here !/052. Chapter 8. Summary.mp4
5.1 MB
~Get Your Files Here !/053. Chapter 9. Generative deep learning and evolution.mp4
29.3 MB
~Get Your Files Here !/054. Chapter 9. The challenges of training a GAN.mp4
29.4 MB
~Get Your Files Here !/055. Chapter 9. Fixing GAN problems with Wasserstein loss.mp4
13.8 MB
~Get Your Files Here !/056. Chapter 9. Encoding the Wasserstein DCGAN for evolution.mp4
14.7 MB
~Get Your Files Here !/057. Chapter 9. Optimizing the DCGAN with genetic algorithms.mp4
11.2 MB
~Get Your Files Here !/058. Chapter 9. Summary.mp4
3.7 MB
~Get Your Files Here !/059. Chapter 10. NEAT NeuroEvolution of Augmenting Topologies.mp4
24.4 MB
~Get Your Files Here !/060. Chapter 10. Visualizing an evolved NEAT network.mp4
10.7 MB
~Get Your Files Here !/061. Chapter 10. Exercising the capabilities of NEAT.mp4
15.3 MB
~Get Your Files Here !/062. Chapter 10. Exercising NEAT to classify images.mp4
17.4 MB
~Get Your Files Here !/063. Chapter 10. Uncovering the role of speciation in evolving topologies.mp4
24.1 MB
~Get Your Files Here !/064. Chapter 10. Summary.mp4
3.3 MB
~Get Your Files Here !/065. Chapter 11. Evolutionary learning with NEAT.mp4
32.4 MB
~Get Your Files Here !/066. Chapter 11. Exploring complex problems from the OpenAI Gym.mp4
15.3 MB
~Get Your Files Here !/067. Chapter 11. Solving reinforcement learning problems with NEAT.mp4
14.7 MB
~Get Your Files Here !/068. Chapter 11. Solving Gym’s lunar lander problem with NEAT agents.mp4
16.5 MB
~Get Your Files Here !/069. Chapter 11. Solving Gym’s lunar lander problem with a deep Q-network.mp4
16.3 MB
~Get Your Files Here !/070. Chapter 11. Summary.mp4
3.6 MB
~Get Your Files Here !/071. Chapter 12. Evolutionary machine learning and beyond.mp4
25.1 MB
~Get Your Files Here !/072. Chapter 12. Revisiting reinforcement learning with Geppy.mp4
15.5 MB
~Get Your Files Here !/073. Chapter 12. Introducing instinctual learning.mp4
34.6 MB
~Get Your Files Here !/074. Chapter 12. Generalized learning with genetic programming.mp4
24.6 MB
~Get Your Files Here !/075. Chapter 12. The future of evolutionary machine learning.mp4
22.4 MB
~Get Your Files Here !/076. Chapter 12. Generalization with instinctual deep and deep reinforcement learning.mp4
19.8 MB
~Get Your Files Here !/077. Chapter 12. Summary.mp4