Kas olete töötanud TensorFlow-ga?

TensorFlow is a popular framework for machine learning and deep learning, developed by Google. It allows creating and training neural networks, working with large datasets, and using GPUs to accelerate computations.

In my practice, I have used TensorFlow to build classification and regression models, as well as to process images and texts. TensorFlow supports both low-level API for flexible model configuration and high-level Keras API for rapid prototyping.

Example of creating a simple neural network for classification using the Keras API in TensorFlow:

import tensorflow as tf
from tensorflow.keras import layers, models

model = models.Sequential([
    layers.Dense(64, activation='relu', input_shape=(input_dim,)),
    layers.Dense(10, activation='softmax')
])

model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=['accuracy'])

model.fit(x_train, y_train, epochs=10, batch_size=32)

TensorFlow also supports working with TensorBoard for visualization of the training process and debugging models.