[Python] ERROR with numpy " with shapes (100,153) (100,) "

print(f"w2i = {len(word2ind)}")
# inp = np.zeros(len(word2ind))
# weigh1_2 =
# for in1 in range(2):
# for i in
wrd
hidden_layer , alfa , itr , top = 100 , 0.1 , 2 , 10
layer0 = np.zeros(len(wrd))
weigh0_1 = np.random.rand(len(wrd) ,hidden_layer )
weigh1_2 = np.random.rand(hidden_layer , len(wrd))

for i1 in range(itr):
for i2 in range(len(sentence)):
layer0 = np.zeros(len(wrd))
inp = sentence[i2]

for i in range(3):
if inp in wrd :
layer0[wrd.index(inp)] = 1
print(f"layer0 {str(layer0)}")
layer1 = layer0.dot(weigh0_1)

print(f"layer 1 = {layer1}")

layer2 = layer1.dot(weigh1_2)

layer3 = softmax(layer2)

if True :
print(f"TOP {top}: ")
arr = np.array(layer3)
print(type(layer3), layer3)

top_of_val = np.argsort(arr)[-top:][::-1]
ind = 1
for i in top_of_val:
print(f"\t{ind} . {wrd} == {arr}")

#########################################

tr = inp[3]
tr_val = layer3[wrd.index(tr)]

diff_l3 = (tr_val - 1 )
diff_l3 = np.array( tr_val * (1 - tr_val))
diff_l2 = diff_l3.dot(weigh1_2)
diff_l1 = diff_l2.dot(weigh0_1)

weigh1_2 = weigh1_2 - ((diff_l2 * layer1) * alfa )
weigh0_1= weigh0_1 - (diff_l1 * alfa * layer0 )


I have this code and this error :

Traceback (most recent call last):
File "/home/idea/code V2/py_code_27jun/main.py", line 93, in <module>
weigh1_2 = weigh1_2 - ((diff_l2 * layer1) * alfa )
~~~~~~~~^~~~~~~~
ValueError: operands could not be broadcast together with shapes (100,153) (100,)
sh-5.2$


if i edit (100,) to (100,1) it will be work ? and how it do

the AI say i need do reshape ? but i not understand how

UDP : if i add .T to layer1 - error if i addd .T to diff_l2 and to weigh1_2 i will have problem with "weigh0_1"

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