: A massive collection of PDFs and ePubs, including sections specifically for AI & Machine Learning, TensorFlow, and Deep Learning. Great-Deep-Learning-Books

Moroney’s book uses TensorFlow 2.x. If you find an older repo, look for a requirements.txt or environment.yml . Alternatively, use Docker . There are community-maintained Docker images pinned to the exact TF version:

# Train a logistic regression model model = LogisticRegression() model.fit(X_train, y_train)

Clone the and run the notebooks on Google Colab (free GPU!). For the explanatory text, consider purchasing the book or accessing it legally through O'Reilly's subscription service. The code alone is extremely valuable for hands-on learning.

from fastai.vision.all import * path = untar_data(URLs.PETS) dls = ImageDataLoaders.from_name_func(path, get_image_files(path), label_func) learn = cnn_learner(dls, resnet34, metrics=error_rate) learn.fine_tune(1)

: Platforms like O'Reilly and Amazon offer the digital versions of the " Programmer's Guide ."

is also available, focusing on practical applications like Generative AI and Hugging Face Transformers. O'Reilly books Computer Vision