TensorFlow Reviews & Product Details

I love how flexible TensorFlow is. Whether I’m working on a small project or something more advanced, TensorFlow gives me the tools I need to build and fine-tune my models. The pre-trained models and built-in support for both mobile and cloud deployment are also a huge time-saver, letting me get up and running quickly. Review collected by and hosted on G2.com.

I find that TensorFlow can be a bit overwhelming at first, especially for beginners like me. Some of the advanced features, like creating custom layers or debugging complex models, took a while to understand. It also seems to run slower than other frameworks when I’m training larger models. Review collected by and hosted on G2.com.

Tensor Flow is easy to use, flexible with devices, runs machine directly in browser with java. Review collected by and hosted on G2.com.

Tool visualize can be more easy and pre trained models can done more frequently and can save more time. Review collected by and hosted on G2.com.

It's easy to integrate pre-trained models for building up the starter projects and tensorflow.js helped me out for integrating it directly into the browser. Review collected by and hosted on G2.com.

There were compatibility issues between different versions, to convert code from Tensorflow 1.0 to Tensorflow 2.0. Although change was good but it need now some changes to be made in order to make it compatible. Review collected by and hosted on G2.com.

The way it handles the data and the community support it has is a god sent. Developing and maintaining the code base is really easy with tensorflow. And with v2 it's just amazing. Review collected by and hosted on G2.com.

I think for a person just entering the industry it's somewhat difficult to understand. Sometimes the documentation is really confusing and you have to search if someone has explained it for you to understand it better. Review collected by and hosted on G2.com.

The libraries available in that library ,the convince it provides for creating Neural network model . Review collected by and hosted on G2.com.

No dislikes ,it's the best tool for Deep Learning Review collected by and hosted on G2.com.

TensorFlow is flexible. It provides a platform for building and deploying machine learning models across a wide range of devices and media, and Tensorflow is really scalable, running on a single device to distributed systems with thousands of GPUs Review collected by and hosted on G2.com.

A few things I dislike about TensorFlow are it is resource intensive; TensorFlow is really resource intensive. It requires high computational power and a powerful GPU. the second thing is the learning curve TensorFlow can have a steep learning curve for beginners due to its complexity Review collected by and hosted on G2.com.

Tensorflow is the best library to work with neural networks and building model architecture. The functional API along with other functionalities makes it easy to define any model from easy to complex and train with ease. Review collected by and hosted on G2.com.

Tensorflow needs to add some development in context of memory. In order to deploy any model it takes around 400mb memory for just tensorflow lib. This is the only part which holds me back sometimes. Review collected by and hosted on G2.com.

One of the best features of Tensorflow is its ability to perform multicore training of models. Unlike the old frameworks, TF doesn't rely on single CPU training rather it allows distributed training of models which drastically decreases the training time we have several GBs of images to be trained for diffusion models. Review collected by and hosted on G2.com.

When developers are using Windows for development there are certain issues with the Python pip packages that are part of TF. There is no native support for Decision forests which is one of the most popular packages that is supported by other frameworks. I train la Review collected by and hosted on G2.com.

In tensorflow there have lots of methods for many purpose. And in tf you can do anything about deep learning. Review collected by and hosted on G2.com.

Tensorflow can build own UI for managing models and all. Review collected by and hosted on G2.com.

Tensorflow has several intuitive methods for implementing machine learning algorithms. I personally like to use the image classification section to understand how to detect patterns in supervised data. Review collected by and hosted on G2.com.

I think there is still some room for improvement in terms of readability. In particular, it feels like many of TensorFlow's commands don't follow a "pythonic" pattern. Review collected by and hosted on G2.com.