Keras Reviews & Product Details

The most liked feature of Keras is it wraps the large chunks of codes in inbuilt functions, it is easy to write or implement the ANN compare to TensorFlow, Well documented. Review collected by and hosted on G2.com.

Overall Keras is good and has not many drawbacks as such, the only thing which can be improved in Keras is its performance on large numbers of epochs or iterations while training the model. Review collected by and hosted on G2.com.

Keras is the best platform that runs in many venues. Like TensorFlow, Microsoft Cognitive Services etc... Review collected by and hosted on G2.com.

Not suitable for beginners who need initial setup and more technical knowledge in Tensorflow. Review collected by and hosted on G2.com.

Easy to use, very flexible, easy for deployment Review collected by and hosted on G2.com.

Poor support for Quantum machine learning Review collected by and hosted on G2.com.

- Easy to use

- Can code up deep learning models quickly Review collected by and hosted on G2.com.

- Advanced customization may not be easily achieved Review collected by and hosted on G2.com.

Getting results with neural networks very wuickly Review collected by and hosted on G2.com.

Incompatibility when using Keras and Keras within tensorflow Review collected by and hosted on G2.com.

The first thing I like about Keras is that it is a very user-friendly API. I can create Deep Learning models very quickly because of their very rich functions. Another important thing is its community. Whenever I find any problem in code then I can look for it in the Keras community; because of its popularity, you can find solutions a little bit easier. It also provides many pre-trained models like Xception, MobileNet, VGG16, InceptionV3, and many more. So I can use these models without training. If you have GPUs, then it also provides GPU support, which makes training of models faster. Review collected by and hosted on G2.com.

What I don't like about the Keras is that it doesn't have good functions for data processing. It also needs some improvements. Sometimes it takes more time to trained models because of backend issues. Review collected by and hosted on G2.com.

The support and Keras dependability with Anaconda. Review collected by and hosted on G2.com.

Sometimes while training on keras, it gets stuck. The other issue is when installing other softwares on keras, it crashes. Review collected by and hosted on G2.com.

Neural networks are indispensable for data science and machine learning. It is quite easy to use if you have a little knowledge of the math of the job. The documentation and other resources are good and satisfying. The examples on keras.io are very instructive. The image processing module is successful. Runs models smoothly on GPU and CPU. It supports RNN and CNN. Review collected by and hosted on G2.com.

Overall, I'm satisfied, but I feel like I'm not in full control of the model. Review collected by and hosted on G2.com.

What I liked the most about Keras framework is unlike tensorflow it provide easy set of code lines, using that we can develop deep learning model easily. Review collected by and hosted on G2.com.

What I liked the least about Keras framework is it provides errors sometimes those are tough to debug. Review collected by and hosted on G2.com.

1. Very easy to implement

2. very easy to learn

3. has many parameters/options to trigger algorithms

4. Good for deep learning starters Review collected by and hosted on G2.com.

1. Not so advanced and debuggable compared to tensorflow or pytorch

2. Not so fast in computation compared to other frameworks Review collected by and hosted on G2.com.