Download link
File List
-
Chapter 3 Feedforward Artificial Neural Networks/004. Activation Functions.mp4 61.73 MB
Chapter 1 Welcome/001. Introduction.mp4 19.35 MB
Chapter 1 Welcome/002. Outline.en.srt 7.5 KB
Chapter 1 Welcome/002. Outline.mp4 21.86 MB
Chapter 2 Machine Learning and Neurons/001. What Is Machine Learning.en.srt 20.38 KB
Chapter 2 Machine Learning and Neurons/001. What Is Machine Learning.mp4 53.53 MB
Chapter 2 Machine Learning and Neurons/002. Code Preparation (Classification Theory).en.srt 22.16 KB
Chapter 2 Machine Learning and Neurons/002. Code Preparation (Classification Theory).mp4 48.32 MB
Chapter 2 Machine Learning and Neurons/003. Classification Notebook.en.srt 10.06 KB
Chapter 2 Machine Learning and Neurons/003. Classification Notebook.mp4 44.7 MB
Chapter 2 Machine Learning and Neurons/004. Code Preparation (Regression Theory).en.srt 9.62 KB
Chapter 2 Machine Learning and Neurons/004. Code Preparation (Regression Theory).mp4 23.55 MB
Chapter 2 Machine Learning and Neurons/005. Regression Notebook.en.srt 13.09 KB
Chapter 2 Machine Learning and Neurons/005. Regression Notebook.mp4 47.66 MB
Chapter 2 Machine Learning and Neurons/006. The Neuron.en.srt 13.87 KB
Chapter 2 Machine Learning and Neurons/006. The Neuron.mp4 34.09 MB
Chapter 2 Machine Learning and Neurons/007. How Does a Model Learn .en.srt 14.88 KB
Chapter 2 Machine Learning and Neurons/007. How Does a Model Learn .mp4 38.56 MB
Chapter 2 Machine Learning and Neurons/008. Making Predictions.en.srt 8.76 KB
Chapter 2 Machine Learning and Neurons/008. Making Predictions.mp4 29.72 MB
Chapter 2 Machine Learning and Neurons/009. Saving and Loading a Model.en.srt 5.49 KB
Chapter 2 Machine Learning and Neurons/009. Saving and Loading a Model.mp4 27.91 MB
Chapter 2 Machine Learning and Neurons/010. Why Keras.en.srt 6.47 KB
Chapter 2 Machine Learning and Neurons/010. Why Keras.mp4 17.56 MB
Chapter 2 Machine Learning and Neurons/011. Suggestion Box.en.srt 4.63 KB
Chapter 2 Machine Learning and Neurons/011. Suggestion Box.mp4 17.3 MB
Chapter 3 Feedforward Artificial Neural Networks/001. Artificial Neural Networks Section Introduction.en.srt 8.45 KB
Chapter 3 Feedforward Artificial Neural Networks/001. Artificial Neural Networks Section Introduction.mp4 26.7 MB
Chapter 3 Feedforward Artificial Neural Networks/002. Forward Propagation.en.srt 13.07 KB
Chapter 3 Feedforward Artificial Neural Networks/002. Forward Propagation.mp4 33.72 MB
Chapter 3 Feedforward Artificial Neural Networks/003. The Geometrical Picture.en.srt 12.73 KB
Chapter 3 Feedforward Artificial Neural Networks/003. The Geometrical Picture.mp4 39.37 MB
Chapter 3 Feedforward Artificial Neural Networks/004. Activation Functions.en.srt 24.06 KB
Chapter 1 Welcome/001. Introduction.en.srt 3.46 KB
Chapter 3 Feedforward Artificial Neural Networks/005. Multiclass Classification.en.srt 11.86 KB
Chapter 3 Feedforward Artificial Neural Networks/005. Multiclass Classification.mp4 33.94 MB
Chapter 3 Feedforward Artificial Neural Networks/006. How to Represent Images.en.srt 16.9 KB
Chapter 3 Feedforward Artificial Neural Networks/006. How to Represent Images.mp4 49.61 MB
Chapter 3 Feedforward Artificial Neural Networks/007. Code Preparation (Artificial Neural Networks).en.srt 17.38 KB
Chapter 3 Feedforward Artificial Neural Networks/007. Code Preparation (Artificial Neural Networks).mp4 42.18 MB
Chapter 3 Feedforward Artificial Neural Networks/008. ANN for Image Classification.en.srt 11.07 KB
Chapter 3 Feedforward Artificial Neural Networks/008. ANN for Image Classification.mp4 40.17 MB
Chapter 3 Feedforward Artificial Neural Networks/009. ANN for Regression.en.srt 14.35 KB
Chapter 3 Feedforward Artificial Neural Networks/009. ANN for Regression.mp4 55.99 MB
Chapter 3 Feedforward Artificial Neural Networks/010. How to Choose Hyperparameters.en.srt 8.58 KB
Chapter 3 Feedforward Artificial Neural Networks/010. How to Choose Hyperparameters.mp4 23.65 MB
Chapter 4 In-Depth Loss Functions/001. Mean Squared Error.en.srt 11.87 KB
Chapter 4 In-Depth Loss Functions/001. Mean Squared Error.mp4 30.29 MB
Chapter 4 In-Depth Loss Functions/002. Binary Cross Entropy.en.srt 7.56 KB
Chapter 4 In-Depth Loss Functions/002. Binary Cross Entropy.mp4 19.76 MB
Chapter 4 In-Depth Loss Functions/003. Categorical Cross Entropy.en.srt 10.39 KB
Chapter 4 In-Depth Loss Functions/003. Categorical Cross Entropy.mp4 26.94 MB
Chapter 5 In-Depth Gradient Descent/001. Gradient Descent.en.srt 10.49 KB
Chapter 5 In-Depth Gradient Descent/001. Gradient Descent.mp4 28.54 MB
Chapter 5 In-Depth Gradient Descent/002. Stochastic Gradient Descent.en.srt 5.63 KB
Chapter 5 In-Depth Gradient Descent/002. Stochastic Gradient Descent.mp4 20.62 MB
Chapter 5 In-Depth Gradient Descent/003. Momentum.en.srt 8.04 KB
Chapter 5 In-Depth Gradient Descent/003. Momentum.mp4 28.83 MB
Chapter 5 In-Depth Gradient Descent/004. Variable and Adaptive Learning Rates.en.srt 16.4 KB
Chapter 5 In-Depth Gradient Descent/004. Variable and Adaptive Learning Rates.mp4 32.6 MB
Chapter 5 In-Depth Gradient Descent/005. Adam Optimization (Part 1).en.srt 17.65 KB
Chapter 5 In-Depth Gradient Descent/005. Adam Optimization (Part 1).mp4 42.09 MB
Chapter 5 In-Depth Gradient Descent/006. Adam Optimization (Part 2).en.srt 14.95 KB
Chapter 5 In-Depth Gradient Descent/006. Adam Optimization (Part 2).mp4 40.46 MB
Download Info
-
Tips
“Deep Learning - Artificial Neural Networks with Tensorflow” Its related downloads are collected from the DHT sharing network, the site will be 24 hours of real-time updates, to ensure that you get the latest resources.This site is not responsible for the authenticity of the resources, please pay attention to screening.If found bad resources, please send a report below the right, we will be the first time shielding.
-
DMCA Notice and Takedown Procedure
If this resource infringes your copyright, please email([email protected]) us or leave your message here ! we will block the download link as soon as possiable.