Programming Neural Networks with Python Your Practical Guide to Building Smart AI Systems with Machine Learning

Neural networks are at the heart of AI-so ensure you're on the cutting edge with this guide! For true beginners, get a crash course in Python and the mathematical concepts you'll need to understand and create neural networks. Or jump right into programming your first neural network, from implementing the scikit-learn library to using the perceptron learning algorithm. Learn how to train your neural network, measure errors, make use of transfer learning, implementing the CRISP-DM model, and more. Whether you're interested in machine learning, gen AI, LLMs, deep learning, or all of the above, this is the AI book you need!
Highlights include:
1) Network creation
2) Network training
3) Supervised and unsupervised learning
4) Reinforcement learning
5) Algorithms
6) Multi-layer networks
7) Deep neural networks
8) Back propagation
9) Transformers
10) Python
11) Mathematical concepts
12) TensorFlow

Rapidgator
i5fx3.7z.html
DDownload
i5fx3.7z
UploadCloud
i5fx3.7z.html
Fileaxa
i5fx3.7z
Fikper
i5fx3.7z.html
FreeDL
i5fx3.7z.html

​

Click to expand...