handson-ml3
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ageron
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Hello, I'm using Nvidia Geforce 1050 ti 4gb, after running cell [49], I'm getting this error. Kindly share the requirements of GPU which will run smoothly with this book. W...
=> ERROR [ 4/12] RUN echo ' - pyvirtualdisplay' >> /tmp/environment. 14.1s ------ > [ 4/12] RUN echo ' - pyvirtualdisplay' >> /tmp/environment.yml && conda env create -f /tmp/environment.yml &&...
Thanks for helping us improve this project! **Before you create this issue** Please make sure you are using the latest updated code and libraries: see https://github.com/ageron/handson-ml3/blob/main/INSTALL.md#update-this-project-and-its-libraries Also please make sure...
Hi @ageron, I've recently got a machine with Apple Silicon and I tried running the notebooks on it natively. Given [the official support](https://developer.apple.com/metal/tensorflow-plugin/), it only required to install [`Miniforge`](https://github.com/conda-forge/miniforge) instead...
I tried to run the subject notebook in Colab and received the below error at [this section]. (https://colab.research.google.com/github/ageron/handson-ml3/blob/main/19_training_and_deploying_at_scale.ipynb#scrollTo=Querying_TF_Serving_through_the_REST_API). Please help. Thanks. Codes caused the error: `import requests server_url = "http://localhost:8501/v1/models/my_mnist_model:predict"...
The following sentence from "INSATALL.md" is somewhat outdated: > but the good news is that they will be installed automatically when you install the tensorflow-gpu package from Anaconda. It is...
Thanks for this great book/repo. I noticed the wide and deep example is using non-normalized inputs which leads to performance degradation.
So, I performed grid search on the 3rd exercise in chapter 2. From performing the grid search, the increase in performance wasn't really much.
Hi @ageron, This PR clarifies some comments, fixes several typos and deprecated `np.object`, and updates output scores in the solutions for exercises 8 and 9, because it makes some difference...
