Tag: keras

How to train keras models consecutively

I’m trying to train different models consecutively without needing to re-run my program or change my code all the time, so this way I can let my PC training different models. I use a for loop while feeding different information from a dictionary for building different models each time, and so I can train a new model each time de

Tensorflow/keras: “logits and labels must have the same first dimension” How to squeeze logits or expand labels?

I’m trying to make a simple CNN classifier model. For my training images (BATCH_SIZEx227x227x1) and labels (BATCH_SIZEx7) datasets, I’m using numpy ndarrays that are fed to the model in batches via …

Tensorflow 2.0 – AttributeError: module ‘tensorflow’ has no attribute ‘Session’

When I am executing the command sess = tf.Session() in Tensorflow 2.0 environment, I am getting an error message as below: System Information: OS Platform and Distribution: Windows 10 Python Version: 3.7.1 Tensorflow Version: 2.0.0-alpha0 (installed with pip) Steps to reproduce: Installation: pip install –upgrade pip pip install tensorflow==2.0.0-alpha0 pip install keras pip install numpy==1.16.2 […]

Gaierror while importing pretrained vgg model on kaggle

I am trying to import a pre-trained VGG model in keras on kaggle. I run through an gaierror which was unfamiliar. Downloading data from https://github.com/fchollet/deep-learning-models/releases/download/v0.1/vgg19_weights_tf_dim_ordering_tf_kernels_notop.h5 ————————————————————————— gaierror Traceback (most recent call last) /opt/conda/lib/python3.6/urllib/request.py in do_open(self, http_class, req, **http_conn_args) 1317 h.request(req.get_method(), req.selector, req.data, headers, -> 1318 encode_chunked=req.has_header(‘Transfer-encoding’)) 1319 except OSError as err: # timeout error /opt/conda/lib/python3.6/http/client.py in request(self, method, url, body,

Split autoencoder on encoder and decoder keras

I am trying to create an autoencoder for: Train the model Split encoder and decoder Visualise compressed data (encoder) Use arbitrary compressed data to get the output (decoder) How to split train it and split with the trained weights? Answer Make encoder: Make decoder: Make autoencoder: Now you can use any of them any way you want to. train the

InvalidArgumentError: cannot compute MatMul as input #0(zero-based) was expected to be a float tensor but is a double tensor [Op:MatMul]

Can somebody explain, how does TensorFlow’s eager mode work? I am trying to build a simple regression as follows: Gradient output: [None, None, None, None, None, None] The error is following: Edit I updated my code. Now, the problem comes in gradients calculation, it is returning zero. I have checked the loss value that is […]

How to fine-tune a functional model in Keras?

Taking a pre-trained model in Keras and replacing the top classification layer to retrain the network to a new task has several examples using a Sequential model in Keras. A sequential model has methods model.pop() and model.add() which make this fairly easy. However, how is this achieved when using a functional model? This framework does […]