Download Oreilly - Evolutionary Deep Learning, Video Edition Torrent

Torrent Contents Size: 1.3 GB

Oreilly - Evolutionary Deep Learning, Video Edition

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001. Part 1. Getting started.mp4	MP4	3.4 MB
002. Chapter 1. Introducing evolutionary deep learning.mp4	MP4	30.5 MB
003. Chapter 1. The why and where of evolutionary deep learning.mp4	MP4	3.6 MB
004. Chapter 1. The need for deep learning optimization.mp4	MP4	13.3 MB
005. Chapter 1. Automating optimization with automated machine learning.mp4	MP4	19.9 MB
006. Chapter 1. Applications of evolutionary deep learning.mp4	MP4	16 MB
007. Chapter 1. Summary.mp4	MP4	3.2 MB
008. Chapter 2. Introducing evolutionary computation.mp4	MP4	13.5 MB
009. Chapter 2. Simulating life with Python.mp4	MP4	10.2 MB
010. Chapter 2. Life simulation as optimization.mp4	MP4	11.9 MB
011. Chapter 2. Adding evolution to the life simulation.mp4	MP4	26 MB
012. Chapter 2. Genetic algorithms in Python.mp4	MP4	48.4 MB
013. Chapter 2. Summary.mp4	MP4	7.4 MB
014. Chapter 3. Introducing genetic algorithms with DEAP.mp4	MP4	20.1 MB
015. Chapter 3. Solving the Queen’s Gambit.mp4	MP4	15.1 MB
016. Chapter 3. Helping a traveling salesman.mp4	MP4	23.5 MB
017. Chapter 3. Selecting genetic operators for improved evolution.mp4	MP4	27.5 MB
018. Chapter 3. Painting with the EvoLisa.mp4	MP4	19.5 MB
019. Chapter 3. Summary.mp4	MP4	5.5 MB
020. Chapter 4. More evolutionary computation with DEAP.mp4	MP4	35.6 MB
021. Chapter 4. Particle swarm optimization with DEAP.mp4	MP4	18 MB
022. Chapter 4. Coevolving solutions with DEAP.mp4	MP4	22.5 MB
023. Chapter 4. Evolutionary strategies with DEAP.mp4	MP4	30.3 MB
024. Chapter 4. Differential evolution with DEAP.mp4	MP4	19.4 MB
025. Chapter 4. Summary.mp4	MP4	3.9 MB
026. Part 2. Optimizing deep learning.mp4	MP4	2.4 MB
027. Chapter 5. Automating hyperparameter optimization.mp4	MP4	36.7 MB
028. Chapter 5. Automating HPO with random search.mp4	MP4	22.2 MB
029. Chapter 5. Grid search and HPO.mp4	MP4	21.9 MB
030. Chapter 5. Evolutionary computation for HPO.mp4	MP4	21.4 MB
031. Chapter 5. Genetic algorithms and evolutionary strategies for HPO.mp4	MP4	20.4 MB
032. Chapter 5. Differential evolution for HPO.mp4	MP4	14 MB
033. Chapter 5. Summary.mp4	MP4	4.1 MB
034. Chapter 6. Neuroevolution optimization.mp4	MP4	16.7 MB
035. Chapter 6. Genetic algorithms as deep learning optimizers.mp4	MP4	13.7 MB
036. Chapter 6. Other evolutionary methods for neurooptimization.mp4	MP4	7.4 MB
037. Chapter 6. Applying neuroevolution optimization to Keras.mp4	MP4	13.3 MB
038. Chapter 6. Understanding the limits of evolutionary optimization.mp4	MP4	9.5 MB
039. Chapter 6. Summary.mp4	MP4	4.1 MB
040. Chapter 7. Evolutionary convolutional neural networks.mp4	MP4	28.7 MB
041. Chapter 7. Encoding a network architecture in genes.mp4	MP4	14.2 MB
042. Chapter 7. Creating the mating crossover operation.mp4	MP4	10.2 MB
043. Chapter 7. Developing a custom mutation operator.mp4	MP4	13 MB
044. Chapter 7. Evolving convolutional network architecture.mp4	MP4	17.5 MB
045. Chapter 7. Summary.mp4	MP4	3.7 MB
046. Part 3. Advanced applications.mp4	MP4	4.9 MB
047. Chapter 8. Evolving autoencoders.mp4	MP4	30.5 MB
048. Chapter 8. Evolutionary AE optimization.mp4	MP4	17.6 MB
049. Chapter 8. Mating and mutating the autoencoder gene sequence.mp4	MP4	9.8 MB
050. Chapter 8. Evolving an autoencoder.mp4	MP4	9.7 MB
051. Chapter 8. Building variational autoencoders.mp4	MP4	29.8 MB
052. Chapter 8. Summary.mp4	MP4	5.1 MB
053. Chapter 9. Generative deep learning and evolution.mp4	MP4	29.3 MB
054. Chapter 9. The challenges of training a GAN.mp4	MP4	29.4 MB
055. Chapter 9. Fixing GAN problems with Wasserstein loss.mp4	MP4	13.8 MB
056. Chapter 9. Encoding the Wasserstein DCGAN for evolution.mp4	MP4	14.7 MB
057. Chapter 9. Optimizing the DCGAN with genetic algorithms.mp4	MP4	11.2 MB
058. Chapter 9. Summary.mp4	MP4	3.7 MB
059. Chapter 10. NEAT NeuroEvolution of Augmenting Topologies.mp4	MP4	24.4 MB
060. Chapter 10. Visualizing an evolved NEAT network.mp4	MP4	10.7 MB
061. Chapter 10. Exercising the capabilities of NEAT.mp4	MP4	15.3 MB
062. Chapter 10. Exercising NEAT to classify images.mp4	MP4	17.4 MB
063. Chapter 10. Uncovering the role of speciation in evolving topologies.mp4	MP4	24.1 MB
064. Chapter 10. Summary.mp4	MP4	3.3 MB
065. Chapter 11. Evolutionary learning with NEAT.mp4	MP4	32.4 MB
066. Chapter 11. Exploring complex problems from the OpenAI Gym.mp4	MP4	15.3 MB
067. Chapter 11. Solving reinforcement learning problems with NEAT.mp4	MP4	14.7 MB
068. Chapter 11. Solving Gym’s lunar lander problem with NEAT agents.mp4	MP4	16.5 MB
069. Chapter 11. Solving Gym’s lunar lander problem with a deep Q-network.mp4	MP4	16.3 MB
070. Chapter 11. Summary.mp4	MP4	3.6 MB
071. Chapter 12. Evolutionary machine learning and beyond.mp4	MP4	25.1 MB
072. Chapter 12. Revisiting reinforcement learning with Geppy.mp4	MP4	15.5 MB
073. Chapter 12. Introducing instinctual learning.mp4	MP4	34.6 MB
074. Chapter 12. Generalized learning with genetic programming.mp4	MP4	24.6 MB
075. Chapter 12. The future of evolutionary machine learning.mp4	MP4	22.4 MB
076. Chapter 12. Generalization with instinctual deep and deep reinforcement learning.mp4	MP4	19.8 MB
077. Chapter 12. Summary.mp4	MP4	4 MB
Bonus Resources.txt	TXT	409.6 B
Get Bonus Downloads Here.url	URL	204.8 B

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